London Area, United Kingdom
Software Engineer (Remote) Location 100% Remote Compensation $40 – $150/hour (Based on experience and engagement type) Employment Type Full-Time available The Role We are looking for a versatile product-minded Software Engineer to design build and ship production-grade software in a fully remote async-first environment. Whether you lean toward frontend backend or full-stack development you will be instrumental in building scalable web applications robust APIs and high-performance backend services. Because we work across a variety of modern tech stacks (including Python TypeScript Go Rust and Java) we value polyglot engineers who possess strong core fundamentals and the ability to adapt quickly. The ideal candidate is a collaborative problem-solver who takes pride in writing clean code thrives with high autonomy and is comfortable owning features from ideation to deployment. What You Will Do End-to-End Ownership Design build and ship scalable production features across the frontend backend or full-stack layers. Code Excellence Write clean highly maintainable and rigorously tested code in your primary technical stack. System Architecture Actively participate in code reviews technical design discussions and sprint planning to shape the technical direction of our products. Async Collaboration Partner seamlessly with product managers designers data scientists and AI engineers across different time zones. Continuous Improvement Optimize system performance enhance reliability and elevate the internal developer experience. Operational Excellence Troubleshoot complex bugs and contribute to production incident responses when necessary. What You Bring (Requirements) Experience 2+ years of professional software engineering experience shipping production code. Technical Mastery Deep proficiency in one or more of the following languages Python JavaScript TypeScript Go Rust Java or C . Engineering Fundamentals A solid grasp of data structures system architecture algorithm design API development and databases. Modern Workflows Hands-on experience with Git rigorous code review processes and automated testing frameworks. Communication Exceptional written English and the proven ability to communicate effectively in a remote asynchronous environment. Autonomy A self-starter mentality with the discipline to work independently in a fully remote setup. Bonus Points (Preferred Qualifications) Cloud infrastructure experience ( AWS GCP or Azure ). Familiarity with containerization and orchestration ( Docker Kubernetes ) and CI/CD pipelines. Exposure to the AI landscape including LLMs RAG pipelines or AI-powered applications . Experience building and scaling distributed or microservices architectures. A strong portfolio of open-source contributions or public projects. What We Offer True Flexibility A 100% remote work environment designed for autonomy and work-life balance. Competitive Compensation Highly competitive hourly rates with flexible engagement models to suit your lifestyle. Impactful Work The opportunity to tackle complex engineering challenges and ship products that matter. Elite Culture Join a collaborative senior-heavy engineering team that values mentorship and technical excellence. Growth Continuous learning opportunities across the latest technologies and software paradigms. Equal Opportunity Employer We build teams based on skills and expertise. All qualified candidates are welcome and encouraged to apply regardless of background identity or prior employment history. Your application will be reviewed solely on your demonstrated technical abilities and qualifications.
Software Engineer (Remote) Location 100% Remote Compensation $40 – $150/hour (Based on experience and engagement type) Employment Type Full-Time available The Role We are looking for a versatile product-minded Software Engineer to design build and ship production-grade software in a fully remote async-first environment. Whether you lean toward frontend backend or full-stack development you will be instrumental in building scalable web applications robust APIs and high-performance backend services. Because we work across a variety of modern tech stacks (including Python TypeScript Go Rust and Java) we value polyglot engineers who possess strong core fundamentals and the ability to adapt quickly. The ideal candidate is a collaborative problem-solver who takes pride in writing clean code thrives with high autonomy and is comfortable owning features from ideation to deployment. What You Will Do End-to-End Ownership Design build and ship scalable production features across the frontend backend or full-stack layers. Code Excellence Write clean highly maintainable and rigorously tested code in your primary technical stack. System Architecture Actively participate in code reviews technical design discussions and sprint planning to shape the technical direction of our products. Async Collaboration Partner seamlessly with product managers designers data scientists and AI engineers across different time zones. Continuous Improvement Optimize system performance enhance reliability and elevate the internal developer experience. Operational Excellence Troubleshoot complex bugs and contribute to production incident responses when necessary. What You Bring (Requirements) Experience 2+ years of professional software engineering experience shipping production code. Technical Mastery Deep proficiency in one or more of the following languages Python JavaScript TypeScript Go Rust Java or C . Engineering Fundamentals A solid grasp of data structures system architecture algorithm design API development and databases. Modern Workflows Hands-on experience with Git rigorous code review processes and automated testing frameworks. Communication Exceptional written English and the proven ability to communicate effectively in a remote asynchronous environment. Autonomy A self-starter mentality with the discipline to work independently in a fully remote setup. Bonus Points (Preferred Qualifications) Cloud infrastructure experience ( AWS GCP or Azure ). Familiarity with containerization and orchestration ( Docker Kubernetes ) and CI/CD pipelines. Exposure to the AI landscape including LLMs RAG pipelines or AI-powered applications . Experience building and scaling distributed or microservices architectures. A strong portfolio of open-source contributions or public projects. What We Offer True Flexibility A 100% remote work environment designed for autonomy and work-life balance. Competitive Compensation Highly competitive hourly rates with flexible engagement models to suit your lifestyle. Impactful Work The opportunity to tackle complex engineering challenges and ship products that matter. Elite Culture Join a collaborative senior-heavy engineering team that values mentorship and technical excellence. Growth Continuous learning opportunities across the latest technologies and software paradigms. Equal Opportunity Employer We build teams based on skills and expertise. All qualified candidates are welcome and encouraged to apply regardless of background identity or prior employment history. Your application will be reviewed solely on your demonstrated technical abilities and qualifications.
Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity build cases and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. About The Role As a Staff Cyber Threat Intelligence Analyst you will conduct high-complexity investigations support time-sensitive blockchain analysis for our partners and shape investigative methods workflows and analytical capabilities that allow TRM to scale rapidly and effectively. You will collaborate with blockchain intelligence experts engineers and data scientists to raise the quality repeatability and operational relevance of TRM’s cyber threat intelligence capabilities. The Impact You Will Have Produce finished cyber threat intelligence including actor profiles campaign reports IOC packages infrastructure attributions and evidence-ready analytical outputs. Act as a staff-level analytical leader across multiple active actors and campaigns at once raising quality shaping standards and coaching other analysts through exemplary tradecraft and judgment. Drive the highest-complexity investigations from seed indicators such as domains IPs hashes aliases or wallets through to attributed actors clusters or campaign pictures and codify the methods others can reuse. Correlate technical indicators with OSINT identity signals infrastructure patterns and financial-rail activity to build a fuller understanding of adversary behavior. Triage large indicator sets cluster infrastructure and turn fragmented signals into clear defensible findings while improving the repeatability and rigor of how this work is done across the team. Support incident responders threat hunters investigators leadership and external partners with timely high-confidence intelligence products and briefings especially where judgment prioritization and ambiguity are unusually high. Evaluate and operationalize new analytical tooling by pressure-testing it on real workflows and identifying where it meaningfully reduces analyst effort improves quality or creates reusable leverage across investigations. Drive better investigation workflows analytic standards and repeatable methods that increase analyst throughput without sacrificing rigor. Partner across intelligence engineering and data science to translate investigative tradecraft into scalable analytical capabilities and product-informed improvements. What We're Looking For 8+ years of experience in cyber threat intelligence intelligence analysis incident-driven investigations or a closely related analytical field. Demonstrated experience producing finished intelligence products such as actor profiles campaign reports attribution assessments or infrastructure mapping. Deep expertise in cyber investigations infrastructure attribution campaign analysis and actor profiling including the ability to set a high bar for analytical rigor in these areas. Strong OSINT instincts and the ability to resolve identities aliases and behavior across fragmented sources. The ability to connect technical findings to financial infrastructure including wallets laundering paths sanctions exposure or identity-linked leads when relevant to the investigation. Excellent judgment about analytical confidence evidentiary strength and what can or cannot be defended in a report referral or operational setting including the ability to guide others on those standards. A track record of leading complex investigations improving workflows shaping analytical standards and raising the quality of work beyond your own cases. Excellent written and verbal communication skills with the ability to package findings for technical and non-technical audiences alike. Comfort operating in a fast-paced environment where priorities can change quickly and ambiguity is normal. AI fluency is required. AI tools should be a meaningful part of your research synthesis and workflow acceleration toolkit with strong human quality control over the resulting output. About The Team TRM's intelligence and investigations work combines national-security-grade tradecraft with deep analytical workflows across cyber OSINT and blockchain-enabled threat activity. This role sits at the intersection of intelligence production investigations and product-informed tradecraft helping ensure TRM’s analytical capabilities remain operationally relevant scalable and high-quality across multiple use cases and stakeholders. Distributed team with an async-first approach via Slack and Notion plus structured syncs for alignment High autonomy high standards low bureaucracy — work directly with analysts engineers and customers who depend on your output Team Operating Rhythms Weekly team syncs to align targeting priorities and review disruption opportunities Daily async standups via Slack on active work returns and target packages in flight Primary time zone overlap US Eastern / Central All output documented in Notion and TRM’s investigative tools Surge availability expected during time-sensitive disruption windows Learn About TRM Speed In This Position Move quickly from a single lead or indicator to an initial analytical picture while the signal is still operationally useful. Support partners and internal teams on time-sensitive issues where fast defensible judgment matters more than perfect information. Continuously adapt your tradecraft as adversaries data sources and analytical tooling evolve. Application Instructions If you’re interested in joining TRM we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions as these will be used to evaluate your qualifications for the role. If you send your resume directly to someone at TRM we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure you’re considered. What To Expect From Our Interview Process Our process is designed to understand how you think solve problems and deliver impact while giving you the opportunity to evaluate TRM. Most interview processes include a case study AI skills assessment and Leadership Principles interview. Recruiter Intro Explore your experience motivations and alignment with the role. Hiring Manager Dive deeper into your relevant experience skills and impact. First Round Typically 1–2 interviews focused on the skills most critical to the role. Final Round Typically 3–5 interviews to go deeper on your craft problem-solving and alignment with TRM. References We’ll speak with former colleagues who can provide perspective on your work and impact. Offer If it’s a mutual fit your recruiter will walk you through your offer and answer your questions. Welcome to TRM Once you sign we’ll get you ready for your first day and onboarding. Your recruiter will share your specific interview plan and preparation guidance along the way. Learn more about interviewing at TRM Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity high ownership team that expects clarity follow-through and impact. People who thrive here are energized by hard problems experimentation and continuous feedback. If something takes months elsewhere it will ship here in days. Our work sits at the intersection of AI national security and fighting crime. The problems are complex the stakes are real and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result the way we operate requires a high level of ownership adaptability collaboration and creative problem-solving. At TRM You Should Expect Priorities and targets to change quickly as we experiment and iterate Work that often requires operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent high-touch communication Creative problem solving and out-of-the-box thinking A pace that rewards urgency adaptability and outcomes This environment is energizing for people who enjoy building solving hard problems and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity adjusting course as new information emerges and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here not just survive here. At the same time many people find this work deeply rewarding. If you are excited by meaningful problems motivated by ambitious goals and energized by working alongside mission-driven colleagues there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more Interviewing at TRM How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft not just automate surface tasks. At TRM AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate treat each other and make decisions. Impact-Oriented Trailblazer We put customers first and move with speed focus and adaptability. We treat every plan like an experiment – test ship measure and iterate quickly. Master Craftsperson We care deeply about our craft. We balance speed with high standards own outcomes end‑to‑end and invest in getting better everyday. Inspiring Colleague We add clarity and energy not noise. We bring humility candor and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter who experiment with speed and rigor and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box we encourage you to apply — we hire for slope judgment and the will to learn fast. TRM is a Series C company with $220M in total funding backed by Goldman Sachs Bessemer Y Combinator Thoma Bravo and others. Headquartered in San Francisco TRM operates as a distributed-first company with hubs in Los Angeles San Francisco New York Washington D.C. London and Singapore. Privacy Policy And Additional Information By submitting your application you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy. We collect the information you provide (such as your resume work history and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months we retain your personal information for up to 36 months from the date of your application. After that period your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area the United Kingdom or another jurisdiction with applicable data protection laws you have the right to access correct or request deletion of your personal data at any time before that period ends. To exercise any of these rights contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers interview assistants and real-time coaching tools such as Otter.ai Fireflies Fathom Cluey or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More Company Values Interviewing FAQs Compensation Range $160K - $190K
This position is listed on behalf of a partner company who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer based in United States. Join a globally distributed infrastructure team responsible for powering highly available production-critical financial technology. You will design automate and operate cloud infrastructure on Google Cloud while helping engineering teams ship faster and more safely. The role combines cloud architecture Infrastructure-as-Code Kubernetes CI/CD observability networking and reliability engineering. You will take ownership of platform capabilities and build self-service solutions that reduce manual work and improve developer productivity. You will also contribute to incident response security capacity planning and continuous improvements across the infrastructure environment. Working in an async-first international setting you will have significant autonomy and a direct influence on technical decisions and platform evolution. This is an opportunity to solve complex infrastructure challenges at scale while applying strong Platform-as-a-Product and SRE principles. Accountabilities Design and evolve highly available cloud architecture on Google Cloud including networking interconnects IAM and resilient infrastructure topologies using Terraform and GitOps practices. Build and maintain secure CI/CD pipelines for Infrastructure-as-Code incorporating automated planning and testing code review Policy-as-Code guardrails drift detection and controlled rollouts. Develop a Platform-as-a-Product approach by creating self-service capabilities reusable infrastructure patterns and developer-friendly golden paths that enable teams to provision resources efficiently. Operate and improve production Kubernetes/GKE environments including workload deployment with Helm scaling networking security observability and troubleshooting. Strengthen platform observability across metrics logs traces and alerting using technologies such as Prometheus Thanos Grafana Loki Tempo and Alertmanager. Operate infrastructure services and data platforms including PostgreSQL and message brokers while partnering with specialized SRE and database teams on complex operational challenges. Participate in a global Follow-The-Sun on-call rotation responding to alerts supporting incidents leading structured troubleshooting coordinating escalations and driving blameless post-mortems and follow-up actions. Apply SRE principles such as SLIs SLOs error budgets and capacity planning to improve reliability and operational maturity. Design and troubleshoot cloud networking components including VPCs routing load balancing DNS TLS firewalls and interconnects. Partner with security and engineering teams to implement secure-by-default infrastructure least-privilege access and effective infrastructure security practices. Identify opportunities to eliminate manual toil through automation and continuously improve reliability security scalability cost efficiency and developer experience. Mentor engineers and lead infrastructure initiatives that raise engineering standards and improve the overall platform. Requirements 5+ years of professional experience in DevOps SRE Platform Engineering Infrastructure Engineering or a closely related discipline with experience operating large-scale highly available production systems. Deep hands-on experience designing and operating cloud architecture on Google Cloud Platform including landing zones networking IAM and high-availability architectures. Strong Terraform and Infrastructure-as-Code expertise including structuring large codebases across multiple environments and applying GitOps and least-privilege principles. Proven experience building CI/CD pipelines for Infrastructure-as-Code including automated plan/apply workflows code review Policy-as-Code drift detection and safe deployment practices. Significant production experience with Kubernetes ideally Google Kubernetes Engine (GKE) and Helm-based workload deployment. Strong understanding of cloud and L3/L4-L7 networking fundamentals including VPCs routing load balancing DNS TLS firewalls and interconnects with the ability to troubleshoot complex connectivity issues. Practical experience with modern observability platforms covering metrics logs traces and alerting particularly Prometheus Thanos Grafana Loki Tempo and Alertmanager. Operator-level knowledge of production data stores and messaging systems such as PostgreSQL RabbitMQ or similar message brokers. Solid understanding of SRE principles including SLOs error budgets capacity planning incident management and root-cause analysis. Strong scripting or programming capabilities in Python Go Shell or equivalent technologies. Demonstrated ability to independently troubleshoot complex production problems and drive issues through resolution. Strong ownership communication documentation and problem-solving skills with the ability to work effectively in a globally distributed and async-first environment. Willingness to participate in a Follow-The-Sun on-call rotation including scheduled availability for urgent infrastructure incidents. Experience with Policy-as-Code and IaC quality tools such as OPA/Conftest Checkov tflint or Atlantis is a plus. Experience managing Terraform state module registries and versioning at scale is a plus. Experience building internal developer platforms or golden paths using tools such as Backstage or Tilt is a plus. Working knowledge of Go Linux Docker/containerd Ansible Chef or Puppet is advantageous. Experience securing containers and Kubernetes/GKE environments is beneficial. Knowledge of advanced Google Cloud security controls regulated environments SOC 2 secrets management or audit logging is advantageous. Familiarity with trading brokerage fintech or other regulated and low-latency environments is a plus. Relevant cloud certifications particularly Google Cloud Professional certifications are valued. Benefits Competitive salary and stock options. Health benefits. One-time USD $500 home-office setup allowance for new hires. USD $150 monthly stipend provided through a company expense card. Fully remote work within the eligible location. Opportunity to work with a globally distributed team across multiple regions. High level of autonomy ownership and influence over infrastructure and platform strategy. Opportunity to work on highly available trading-critical systems and complex cloud infrastructure challenges. A strong focus on developer productivity automation reliability and Platform-as-a-Product practices. Exposure to modern cloud Kubernetes Infrastructure-as-Code observability and SRE technologies. Inclusive environment committed to building a diverse and collaborative workforce. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly objectively and fairly against the role's core requirements. Our system identifies the top-fitting candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice By submitting your application you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access rectification erasure objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
United States NY Area or Remote
"About Avo Avo is the leading AI platform for healthcare enterprises helping clinicians make better decisions move faster and improving the quality of patient care. Serving as a central hub for care teams Avo brings together patient data clinical knowledge and AI-powered workflows to support diagnosis care planning documentation orders and evidence-based decision-making at the point of care.Clinicians today navigate dozens of tabs applications datasets hospital protocols medical guidelines and payer policies to deliver high-quality care. Avo changes that. We are product-obsessed collaborative and scrappy united by a mission to improve healthcare delivery through AI. Our investors include Noro-Moseley Partners AlleyCorp Scrub Capital and several leading hospitals and universities. The Role We are looking for a Software Engineer to join Avo's Engineering Team. This role will be responsible for building and maintaining the connections between Avo and the EHR systems used by our hospital and clinic partners. You will own integration work end-to-end - scoping building testing deploying and keeping things running in production clinical environments where reliability is non-negotiable. This role sits on a small distributed team with distributed engineers across our US and Asia Team. We work async-first. Clear written communication is as important here as clean code. Prior EHR integration experience is not required. We care far more about strong engineering fundamentals curiosity about the healthcare space and a willingness to learn a specialized domain. What You'll Do EHR Integration Development Build and maintain integrations with Epic Cerner and other major EHR platforms using FHIR HL7 and vendor-specific APIs - we will ramp you up on the specifics Own integration work end-to-end scoping development testing deployment and ongoing maintenance Troubleshoot and resolve integration issues in production clinical environments where reliability is mission-critical read raw FHIR resources trace HL7 message flows and resolve data mapping issues Work with hospital IT teams and EHR vendors to support new integration rollouts and navigate certification requirements Platform Development Contribute to product features across Avo's broader platform including clinical AI tooling decision support and EHR-embedded workflows as team needs evolve Collaborate with product design and clinical stakeholders to translate healthcare workflow requirements into clean reliable code Participate in code reviews providing and receiving constructive feedback Quality & Compliance Write unit and integration tests with a focus on reliability in high-stakes clinical environments Proactively identify and resolve bugs performance issues and edge cases in integration data flows Uphold our security and compliance standards — HIPAA SOC2 and EHR vendor certification requirements (we will get you up to speed) Collaboration & Communication Contribute to technical discussions RFC processes and sprint planning Communicate clearly and asynchronously with teammates implementation partners and EHR vendor contacts across time zones Help document integration patterns and onboard other engineers to EHR tooling as the team grows The Stack Front-end React TypeScript Tailwind Back-end Python Django Celery PostgreSQL Redis Integrations FHIR R4 HL7 v2 Epic App Orchard Cerner SMART on FHIR Infrastructure AWS (ECS/ECR) GitHub Actions AI OpenAI/Azure LLMs RAG pipelines What You Bring Must-Haves 3-5+ years of professional software development experience Proficiency in JavaScript/TypeScript (React) or Python (Django) Solid understanding of REST APIs data modeling and systems that handle sensitive high-reliability data Strong written communication skills - we are a written-first culture Passion and drive to improve the lives of clinicians with the latest technology Hustle and the desire to wear many hats in a fast-paced cross-functional environment Startup ""get it done"" attitude with independent drive and out-of-the-box thinking Strongly Preferred Experience in a high-growth startup or B2B SaaS environment Familiarity with HIPAA compliance requirements in a software context Familiarity with both our front-end (React/TypeScript) and back-end (Python/Django) stacks Comfort with AI-assisted development workflows Nice-to-Haves Prior experience with EHR integrations (Epic Cerner or equivalent) using FHIR HL7 or vendor-specific APIs Experience with Epic App Orchard certification or Cerner SMART on FHIR workflows Clinical background or experience working closely with clinical teams Experience with AWS Docker or Terraform Experience scaling AI/LLM features in production Why Join Avo Impact Avo’s products run inside hospitals helping clinicians make better calls at the point of care. The work is real and the mission is meaningful. Ownership You will own your accounts end-to-end and build the CS function from the ground up. Your fingerprints will be on every process. High Agency We move fast trust our people and avoid bureaucracy. Great Team Work alongside a talented low-ego group of clinicians engineers and product folks who care deeply about craft. Remote-First Work from anywhere in the US. The company has offices in NYC so if you’re in the area we’d love the chance to work in-person together 2 days/week. How We Take Care of Our Team Generous Time Off Flexible and generous PTO Comprehensive Health Plans Medical dental and vision coverage for you and your family 401K Matching Contribution matching to help invest in your future Personal Device Allowance Tax-free funds for personal device usage Compensation and Equity $160000 - $185000 base salary and equity Avo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees."
Remote EMEA
About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit pay and manage international teams. With our core values at heart and future focused work culture our team works tirelessly on ambitious problems asynchronously around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic curious motivated and ambitious be part of our world. Apply now and define the future of work! This position As a Senior SRE at Remote you'll work with a high degree of autonomy on complex reliability and platform problems owning the plan and execution of features and projects within our SRE/Platform domain. You'll contribute to the platform's architecture and reliability strategy translating ambiguous requirements into robust maintainable solutions and raise the technical bar of the engineers around you while collaborating closely with product and security teams in an async-first fully remote environment. You'll work AI-natively day to day and build reusable AI workflows that make the whole team faster and more reliable not just yourself. What you’ll bring Solid professional experience in SRE DevOps or Platform Engineering. Solid hands-on Kubernetes operating and scaling production clusters and container tooling (Docker) and its ecosystem. Experience building and managing cloud infrastructure on AWS (or similar). Strong infrastructure-as-code practice with Terraform. Experience with reliability frameworks SLOs SLIs error budgets alerting strategies. Solid observability background OpenTelemetry Grafana/Prometheus or similar. Proficiency with CI/CD (GitLab CI GitHub Actions or similar) and deployment automation. Comfortable with Golang Bash/scripting broader programming a plus. Practical embedded use of AI in infra/ops/dev work agentic workflows with concrete observable results not just familiarity with the tools. Clear and thoughtful communication especially in an async-first global setting Proactive curious and comfortable taking ownership of challenges Collaborative and respectful across cultures time zones and backgrounds Nice to have Experience with 1 back-end programming language (Elixir Nodejs Python etc) Experience running and configuring Linux systems in a non-cloud environment Security knowledge and capabilities from a defensive and offensive standpoint What you’ll do Lead solution discovery and delivery for reliability and infrastructure problems with real ambiguity complexity or scope. Autonomously coordinating with other contributors where needed. Contribute to the platform's architecture tooling and roadmap. Influence team priorities and advocate for technical initiatives. Help define and operate reliability practices for our platform SLOs/SLIs error budgets alerting observability. Take responsibility for the team's operational stance using support/incident metrics to shape technical strategy. Resolve cross-team requests identify systemic issues and turn recurring ones into reusable fixes and runbooks rather than one-off answers. Work AI-natively and operationalise it for the team use agentic workflows by default build reusable prompts skills and tooling embedded in the codebase so others ship faster safely design agent-ready systems (clean interfaces good observability) that make AI-assisted changes easy to review. Establish shared standards and domain-level guardrails (secure-by-default patterns CI protections AI-assisted review practices). Mentor and give timely actionable feedback to less-senior engineers participate in hiring onboarding and RFC discussions. Collaborate with Security on platform hardening and threat mitigation contribute to capacity and cost-efficiency of the infrastructure. Participate in incident response and on-call rotations to rapidly resolve issues and maintain system reliability. Practicals You'll report to SRE Team Lead Team Engineering Location For this hire due to diversity and timezones requirements we’re prioritising Europe Start date As soon as possible Application process Interview with recruiter Interview with HM (async) Infrastructure exercise (you're not expected to spend more than 2 - 4 hours) Interview with the team (without any manager in the call so you can really get to know the people and ask all you want to ask) Bar Raiser Interview Executive Interview Offer + Background check ( Veremark & Remote LI-DNP Remote's Total Rewards philosophy is to ensure fair unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role level and location and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location transferable or job-related skills work experience relevant training business needs and market demands. The base salary range may be subject to change. At Remote we foster internal mobility as a key element of our culture of employee growth and development supported by a compensation philosophy that guarantees pay equity and fairness. Therefore all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $53300 $119850 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits . As a global company each country works differently but some benefits/perks are for all Remoters work from anywhere flexible paid time off flexible working hours (we are async 16 weeks paid parental leave budget towards co-working spaces learning and wellness (including gym memberships) mental health support services stock options home office budget & IT equipment How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first and fit work around your needs. If that sounds like something you want apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups genders sexuality age abilities disability status and any other under-represented group to apply but we prioritize a sense of belonging. We have 4 ERGs (Women Disability Queer Minorities in Tech) who meet regularly with the People team. During your interviews and beyond we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds identities and experiences and this data will help us to stay accountable. We thank you for providing this data if you chose to. At Remote we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here Please note we accept applications on an ongoing basis.
Hybrid Bangalore, India
About the Role Abnormal AI is looking for an experienced and driven Platform & Infra software engineer to join the PI team. Join us and help build the platforms that power Abnormal's growth Observability Platform - Own and evolve the monitoring metrics and alerting infrastructure that every engineering team at Abnormal depends on. You'll work across the Prometheus Chronosphere and Grafana stack to ensure engineers can see what their systems are doing in real time — building dashboards managing metric pipelines at scale operating the PagerDuty alerting pipeline and driving cost-efficient observability across all production environments (US EU and GovCloud). Your Impact Own the observability stack (Prometheus Chronosphere Grafana PagerDuty) that every team relies on to detect diagnose and resolve production issues — when you make it better every engineer at Abnormal gets faster. Design platforms and developer tooling that remove friction — reducing deployment times simplifying pipeline authoring and letting product teams focus on building rather than firefighting. Drive SLAs and SLOs for critical shared infrastructure ensuring the systems behind our products are resilient and cost-efficient. Your architectural decisions on alerting pipelines and cross-environment deployments will define what products we can build and how quickly we deliver them to customers. What you will do Work with the Tech Lead Engineering Manager and Product Manager to design develop and deliver key platform features — from technical design docs through production rollout Own features end-to-end scoping implementation testing deployment and post-launch monitoring across multiple environments (US EU GovCloud) Take ownership of 1-3 key services within Observability (Prometheus Chronosphere Grafana PagerDuty pipeline) or Data Infra (Airflow Spark) and be accountable for their reliability performance and evolution Participate in on-call rotations — triage diagnose and resolve production issues independently building deep operational knowledge of the systems you own Improve system resilience by converting runbooks into automated solutions refining SLAs/SLOs and proactively identifying performance bottlenecks and failure modes Assume ownership of the reliability of everything you build including comprehensive unit tests integration testing and observability instrumentation Build platforms tooling and APIs that make it easier for other engineering teams to ship — whether that's faster pipeline deployments better dashboards or simpler alerting configuration Partner with internal customers (product and engineering teams) to understand their needs and translate them into scalable platform capabilities Communicate effectively in an async-first distributed environment — proactively providing updates discussing challenges and proposing solutions without prompting Mentor junior engineers on the team helping them ramp up on service operations and development practices Raise the bar of engineering excellence through code reviews knowledge sharing design discussions and contributing to team best practices Must Haves Backend Engineering & Distributed Systems (4+ years) 4+ years of hands-on backend engineering experience designing building and operating production-grade distributed systems Strong proficiency in Python — the primary language for Airflow DAGs platform services and automation tooling Working proficiency in Golang — used for high-performance infrastructure components metric pipelines and platform services Experience building systems that process data at scale — whether metric ingestion pipelines stream/batch processing or high-throughput API services Demonstrated experience owning a service or platform end-to-end — from technical design through production deployment monitoring and iteration Comfortable balancing feature development with operational responsibilities you've shipped features and kept them running reliably at scale Experience writing technical design documents that articulate trade-offs propose solutions and get buy-in from peers and tech leads Track record of breaking down ambiguous problems into concrete deliverable milestones Experience with fault tolerance patterns — retries circuit breakers graceful degradation backpressure — and knowing when to apply each Proven incident response capability you've been on-call diagnosed production issues under pressure and driven them to resolution Strong testing discipline — unit tests integration tests and an understanding of what to test and how to keep test suites maintainable Ability to design systems with a forward-looking perspective — thinking about how your architecture handles 10x growth multi-region deployment and evolving requirements Ability to contribute to and influence cross-team technical direction — you're not just implementing specs you're shaping the solution Async-first communication excellence — strong written communication skills for design docs Slack discussions PR reviews and status updates across time zones Proactive communicator — you surface blockers early share con Solid understanding of monitoring alerting and observability principles — you've instrumented services set up dashboards defined SLIs/SLOs or triaged production incidents using metrics and logs Nice to Have Hands-on experience with Prometheus — PromQL queries recording rules alerting rules relabeling configs and understanding metric cardinality challenges at scale Experience with Grafana — building dashboards templating managing datasources and creating meaningful visualizations for operational and business metrics Familiarity with commercial observability platforms like Chronosphere Datadog New Relic or Honeycomb — understanding trade-offs between self-hosted and managed solutions Experience designing or operating an alerting pipeline — PagerDuty OpsGenie or similar — including alert routing escalation policies and reducing noise/alert fatigue Cloud Infrastructure & Kubernetes Familiarity with AWS services — EC2 ECS EKS S3 RDS IAM CloudWatch Lambda SQS/SNS — and understanding how to architect cost-effective secure cloud infrastructure Experience with Kubernetes (K8s) — deploying and operating workloads understanding pods/services/deployments Helm charts and debugging cluster-level issues Exposure to Infrastructure-as-Code tools — Terraform Pulumi or CloudFormation — and understanding the value of declarative infrastructure management Experience with CI/CD pipelines — GitHub Actions Jenkins or similar — and optimizing build/deploy times for platform services Programming & Framework Experience with Django or similar Python web frameworks — building APIs managing migrations and understanding ORM performance characteristics Familiarity with gRPC or protobuf for inter-service communication in a microservices architecture Technical Leadership & Platform Thinking Experience leading a small team (2-4 engineers) to build a feature or component from scratch — scoping task breakdown code reviews and delivery management Experience building internal developer platforms or tooling — CLIs SDKs self-service portals or automation that improved developer productivity Track record of reducing operational toil — automating runbooks LI-FS1 A note on AI in our process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further if your application is successful and Abnormal AI makes a conditional offer of employment we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law please click here
Seattle, Washington, United States
ABOUT LVT LVT is redefining how businesses operate in the physical world moving beyond traditional security solutions to deliver AI-driven actionable intelligence that makes sites smarter safer and more secure. Since pioneering our first mobile solar-powered units our commitment to scrappy hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety compliance and operations. This is your chance to join a cutting-edge team that isn't just watching the world change but actively building the technology that is changing it. We’re a team that’s focused on growth and innovation and we’re proud that our crew products and leadership are being recognized for it. A Top-Tier Growth Company Named one of the Financial Times’ Fastest Growing Companies 2025 and 10 on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership Our CEO Ryan Porter was named an EY Entrepreneur of the Year 2025 and our CTO Steve Lindsey was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As a Senior DevOps Engineer at LVT you will play a pivotal role in designing scaling and securing the cloud infrastructure and platform engineering solutions that power our next-generation Agentic AI platform and massive IoT edge fleet. Reporting to the Senior Engineering Manager of DevOps you will collaborate with cross-functional software and hardware engineering teams to drive automation robust GitOps workflows and resilient systems design. Your expertise will directly enhance the operational reliability security and velocity of our global intelligent site technology. This role is based out of our Seattle WA location. It will operate on a hybrid schedule initially with the expectation of transitioning to a full in-person in-office model. ROLE RESPONSIBILITIES Infrastructure Architecture Own architect and continuously optimize cloud infrastructure using Infrastructure as Code across multi-region production environments to support LVT’s massive scaling needs. Orchestration & Containerization Manage upgrade and optimize high-availability Kubernetes clusters focusing on seamless workload performance advanced networking and secure configurations. Deployment Automation Drive the continuous adoption and maturation of GitOps practices to build robust secure and highly predictable deployment pipelines. Cloud Operations Design and maintain scalable cloud architectures managing core services networking and identity access management while actively leading cost optimization and resource efficiency strategies. Security & Zero-Trust Compliance Ensure rigorous security boundaries and secrets compliance across all infrastructure layers by implementing zero-trust access frameworks and modern secrets management systems. Edge & IoT Enablement Support the operational health connectivity and deployment workflows of our global IoT and edge fleet technology partnering with teams to implement high-throughput messaging infrastructures. System Observability Develop implement and maintain advanced observability monitoring and alerting frameworks to ensure real-time system health visibility and rapid incident resolution. Technical Documentation & Culture Establish thorough systems documentation architectural diagrams and runbooks while actively championing an asynchronous collaborative engineering workflow within the DevOps organization. OUR IDEAL CANDIDATE Production Experience Brings 5+ years of proven DevOps platform or cloud infrastructure engineering experience within high-availability production environments. Kubernetes Mastery Possesses deep hands-on experience managing Kubernetes workloads networking RBAC storage and upgrades with a strong preference for Amazon EKS. Infrastructure as Code Expert Demonstrates advanced Terraform and Terragrunt skills with the capability to confidently own and refactor complex infrastructure module hierarchies. GitOps Delivery Experienced with declarative continuous delivery methodologies and GitOps tooling with a strong preference for ArgoCD. AWS Ecosystem Fluency Exhibits deep technical knowledge of core AWS environments including VPC design IAM EKS ALB/NLB S3 CloudWatch and rigorous cloud cost management. Systems Fundamentals Highly comfortable with Linux systems administration advanced shell scripting and deep debugging at the operating system level. Identity & Secrets Management Proven experience managing secrets securely with a strong preference for HashiCorp Vault alongside exposure to zero-trust access platforms like Teleport Boundary or BeyondCorp. Collaboration & Communication Strong written communicator who excels at documenting complex systems authoring practical runbooks and executing within async-first workflows. Advanced Domain Expertise (Plus) Experience or exposure to IoT/edge fleet management and MQTT brokers observability platforms like Datadog or Coralogix AWS GovCloud/FedRAMP compliance contexts or overlay networking like NetFoundry and OpenZiti. COMPENSATION The beginning annual salary range for this role is $151200.00 - $176400.00 USD and is determined by location job-related experience and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals and you will become an owner from day one through our employee equity program. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health families and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include but not limited to Comprehensive health dental and vision coverage retirement benefits (401k match up to 4%) and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process and/or to perform essential job functions please reach out to your recruiter.
American Fork, Utah, United States
ABOUT LVT LVT is redefining how businesses operate in the physical world moving beyond traditional security solutions to deliver AI-driven actionable intelligence that makes sites smarter safer and more secure. Since pioneering our first mobile solar-powered units our commitment to scrappy hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety compliance and operations. This is your chance to join a cutting-edge team that isn't just watching the world change but actively building the technology that is changing it. We’re a team that’s focused on growth and innovation and we’re proud that our crew products and leadership are being recognized for it. A Top-Tier Growth Company Named one of the Financial Times’ Fastest Growing Companies 2025 and 10 on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership Our CEO Ryan Porter was named an EY Entrepreneur of the Year 2025 and our CTO Steve Lindsey was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As a Senior DevOps Engineer at LVT you will play a pivotal role in designing scaling and securing the cloud infrastructure and platform engineering solutions that power our next-generation Agentic AI platform and massive IoT edge fleet. Reporting to the Senior Engineering Manager of DevOps you will collaborate with cross-functional software and hardware engineering teams to drive automation robust GitOps workflows and resilient systems design. Your expertise will directly enhance the operational reliability security and velocity of our global intelligent site technology. This role is based out of our headquarters in American Fork Utah. It will operate on a hybrid schedule initially with the expectation of transitioning to a full in-person in-office model. ROLE RESPONSIBILITIES Infrastructure Architecture Own architect and continuously optimize cloud infrastructure using Infrastructure as Code across multi-region production environments to support LVT’s massive scaling needs. Orchestration & Containerization Manage upgrade and optimize high-availability Kubernetes clusters focusing on seamless workload performance advanced networking and secure configurations. Deployment Automation Drive the continuous adoption and maturation of GitOps practices to build robust secure and highly predictable deployment pipelines. Cloud Operations Design and maintain scalable cloud architectures managing core services networking and identity access management while actively leading cost optimization and resource efficiency strategies. Security & Zero-Trust Compliance Ensure rigorous security boundaries and secrets compliance across all infrastructure layers by implementing zero-trust access frameworks and modern secrets management systems. Edge & IoT Enablement Support the operational health connectivity and deployment workflows of our global IoT and edge fleet technology partnering with teams to implement high-throughput messaging infrastructures. System Observability Develop implement and maintain advanced observability monitoring and alerting frameworks to ensure real-time system health visibility and rapid incident resolution. Technical Documentation & Culture Establish thorough systems documentation architectural diagrams and runbooks while actively championing an asynchronous collaborative engineering workflow within the DevOps organization. OUR IDEAL CANDIDATE Production Experience Brings 5+ years of proven DevOps platform or cloud infrastructure engineering experience within high-availability production environments. Kubernetes Mastery Possesses deep hands-on experience managing Kubernetes workloads networking RBAC storage and upgrades with a strong preference for Amazon EKS. Infrastructure as Code Expert Demonstrates advanced Terraform and Terragrunt skills with the capability to confidently own and refactor complex infrastructure module hierarchies. GitOps Delivery Experienced with declarative continuous delivery methodologies and GitOps tooling with a strong preference for ArgoCD. AWS Ecosystem Fluency Exhibits deep technical knowledge of core AWS environments including VPC design IAM EKS ALB/NLB S3 CloudWatch and rigorous cloud cost management. Systems Fundamentals Highly comfortable with Linux systems administration advanced shell scripting and deep debugging at the operating system level. Identity & Secrets Management Proven experience managing secrets securely with a strong preference for HashiCorp Vault alongside exposure to zero-trust access platforms like Teleport Boundary or BeyondCorp. Collaboration & Communication Strong written communicator who excels at documenting complex systems authoring practical runbooks and executing within async-first workflows. Advanced Domain Expertise (Plus) Experience or exposure to IoT/edge fleet management and MQTT brokers observability platforms like Datadog or Coralogix AWS GovCloud/FedRAMP compliance contexts or overlay networking like NetFoundry and OpenZiti. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health families and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include but not limited to Comprehensive health dental and vision coverage retirement benefits (401k match up to 4%) and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process and/or to perform essential job functions please reach out to your recruiter.
Remote
We’re hiring an experienced Product Management leader to help us build the future of marketing planning and analysis. Recast’s platform includes a flagship marketing mix model and planning suite along with a platform for designing and analyzing geographic-level incrementality experiments all delivered through a user-facing application public API and MCP server. At Recast you will report directly to the CEO and work closely with the leadership team to convert business strategy into the product roadmap. You will work closely with engineering leadership to prioritize and scope work to maximize the amount of value created for our customers. You will oversee our team of product managers as a player-coach. Because we’re a small (but mighty!) team you will need to own parts of the product as an IC while you also manage and upskill the team. What you will do in your first 6 months Go deep on Recast’s product and customers understand how our technical users engage with our products what their needs are and where the friction is. Build a clear product roadmap for the next two quarters. Include a process for updating the roadmap as priorities change. Co-own go to market the work isn’t shipped until users are getting value out of the feature so PMs are expected to work closely with marketing and GTM teams on how to successfully deliver products people are willing to pay for. Set the standards for product metrics and how we measure success Keep stakeholders across sales and leadership informed on what’s in flight and why Things you probably have experience in 10+ years PM experience at B2B SaaS companies with meaningful experience in data or analytics products A proven track record shipping complex technical products in a fast-moving environment Shipping API products you understand how technical customers consume your products and how to spec them clearly Productizing data-heavy statistical and machine learning models Working heavily with AI tools and ideally thinking about how to utilize them to make new and better product experiences Things that should excite you that might scare off other folks Translating PhD-level statistical research into executable engineering specs Working closely with the CEO to (not a PM strong product perspective) to build the roadmap and prioritize initiatives Being part of a remote async-first team spread across time zones where clear written communication is essential Having a wide scope you’ll be a player-coach both owning execution on certain product initiatives as well as managing a team What we offer you Work wherever you're happiest. We're fully remote Competitive remote salary along with early-stage equity Highly skilled coworkers you can learn from and who are eager to learn from you An async-first culture with a focus on documentation over standing meetings Autonomy and support to do your best work in your own time Your local holidays plus unlimited PTO (minimum 2 weeks mandatory PTO!) Note Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g. women BIPOC etc.) please apply even if you don't necessarily check all of the boxes here. While Recast is officially based in the US we're a fully remote team (one founder lives in Brooklyn the other in Mexico City with team members in 6+ countries around the world). We can't sponsor visas at this time however we are happy to have you join remotely from wherever you are. If this sounds interesting to you we'd love to learn more about you!