• Own the technical architecture, engineering execution, and productization of enterprise AI capabilities • Design, build, validate, and scale AI solutions • Partner closely with the AI Product & Account Management function • Lead AI engineering teams responsible for rapid prototyping, MVP development, and AI platform services • Ensure strong engineering discipline: code quality, testing, documentation, and observability

Fully Remote (North America / South America) - There is 1 opening, posted to multiple locations. No agencies. About Maximus Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify. We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there. We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default. About the Role We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols. Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check. You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering. What you will do (Key Responsibilities): - Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude - Ship full-stack features across the acquisition funnel in Rails and React - Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations - Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate - Iterate and continuously optimize plan and pricing architecture, including payment platform integrations - Build and maintain the experimentation infrastructure your team runs on - Partner with data engineering to instrument cohort-level M1 retention tracking per experiment - Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity Our Tech Stack: - Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (required) - Event-sourced architecture with command pattern - PostgreSQL, Redis, Delayed Job for background processing - Stripe and Klarna for payments and installment plans - Amplitude for experimentation and analytics, Segment for event collection - Redux with redux-loop and Immutable.js on the frontend - Docker, AWS/GCP, Aptible, GitHub Actions CI/CD - Cypress for E2E testing - AI-assisted development: Claude Code and Devin for agentic coding What we are looking for (Qualifications): - You've led a team of 4-8 engineers before, with direct reports you grew and retained - You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture) - You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable. - You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster - You think in funnels and cohorts, not just features - You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams - You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process Nice to have (strongly preferred): - Experience with healthcare, wellness, or regulated subscription commerce - Familiarity with Stripe billing, Klarna, or similar payment platform integrations - Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure How we work: - Remote, Americas-based (team is distributed across US and Latin America time zones) - Two-week sprints with PM, Design, and Tech Lead driving prioritization together - Ship and deploy to production multiple times per day Why this role and join us?: You'll set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month. Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you. World-Class Benefits: - Full suite: health, medical, dental coverage (USA & Canada) - Flexible vacation/time-off policies - Equity into the company in the form of high potential stock options - Liquidity of options whenever available - Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees) Interview process Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know). Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human. - Application & Criteria Questionnaire: When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression. - First Interview: Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience & fit for the role, and alignment on values and expectations. - Role Interview: You will then meet with Mark P - Head of Engineering and Steve C - Senior Growth Product Manager to understand how you would approach real Growth team problems across system design, product trade-offs, and compliance. - Technical Interview: Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate - Leadership Interview: Chat with Mark P - Head of Engineering on leading a team, growing engineers, hiring and other aspects of people leadership. - Meet the CEO: At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes. Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity. Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves developing and leading initiatives in observability and AI at New Relic. The position requires hands-on programming and strong system design skills, with a focus on Generative AI and leadership within the engineering community. - Hands-on Python programming and system design - Exposure to Generative AI and ability to influence engineers and C-level stakeholders - Thought leadership within the domain and developer community - Ability to work across time zones and lead over 60+ engineers Qualifications - 15+ years of relevant technology experience - 8+ years of architecting platforms and frameworks at scale - 5 years of experience in cloud platforms with a focus on Generative AI - Proven experience implementing DevSecOps practices in enterprise environments - Experience building and maintaining CI/CD pipelines with integrated security controls - Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) - Strong understanding of infrastructure as code (e.g., Terraform, CloudFormation, Pulumi) - Experience with containerization technologies (Docker, Kubernetes) and their security implications - Experience with secrets management solutions (HashiCorp Vault, AWS Secrets Manager, etc.) - Strong coding skills in Python, Java, or C# - Solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers - Knowledge of generative models, including GANs, VAEs, and LLMs like OpenAI’s GPT series - Familiarity with cloud platforms that support deploying and scaling generative models - Ability to align AI/ML initiatives with broader business goals - Proven experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) Requirements - Experience working across multiple cloud providers and implementing cloud-agnostic security solutions (bonus) - Expertise in Kubernetes security and service mesh technologies (e.g., Istio) (bonus) - Familiarity with API security and OAuth/OIDC protocols (bonus) - Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock (bonus) Benefits - Healthcare, dental, and vision insurance - Parental leave and planning - Mental health benefits - 401(k) plan with company match - 11 paid holidays - Volunteer time off - Paid time off - Other competitive benefits designed to improve employee lives

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves designing, building, validating, releasing, operating, and improving high-performance services and APIs for authentication. - Design model training and inference workflows with clear versioning, lineage, and promotion criteria. - Define service responsibilities, interfaces, and data contracts that evolve safely. - Specify behavior under retries, timeouts, partial failures, and dependency degradation. - Choose consistency and durability guarantees that match risk, latency targets, and operational realities. - Design the request path for predictable tail latency and controlled resource usage. - Build and operate high-performance services and APIs that keep authentication reliable, secure, and fast at scale. - Implement distributed services that are safe under concurrency and robust to duplicate and out-of-order events. - Build real-time scoring and decision services with clear input/output contracts and bounded execution time. - Build distributed training pipelines that scale, are reproducible, and produce auditable artifacts. - Build pipelines that move data and model artifacts through validation, promotion, and release. - Define automated quality gates for service changes and releases. - Add checks for data quality, schema/contract adherence, and training-serving consistency. - Define acceptance criteria tied to measurable outcomes and production behavior. - Ship changes with staged rollouts and rollback readiness as defaults. - Coordinate multi-service releases with clear cutover and recovery plans. - Use production signals to validate rollouts and trigger rollback when risk is high. - Participate in on-call rotation, including nights and weekends. - Own after-hours production releases, including rollout validation, monitoring, and rollback execution. - Instrument the full path with metrics, logs, and traces that enable fast detection and diagnosis. - Implement alerting that reflects user impact, not just component health. - Lead incident response for your services, restore service quickly, and communicate clearly during events. - Run post-incident reviews and close follow-ups that measurably reduce recurrence. - Drive reliability work through SLIs, SLOs, and error budgets, and make tradeoffs explicit. - Improve performance and cost through profiling, load testing, and capacity planning. - Raise engineering quality through reviews, standards, and simplification of operationally expensive designs. - Align across teams on interfaces, data contracts, and reliability expectations to reduce coordination friction. - Evaluate new approaches when they materially improve security, performance, delivery safety, or operational simplicity. Qualifications - 3–5 years of software development experience. - Experience designing and implementing highly scalable cloud-based APIs. - Experience with multiple programming languages, such as Python and Go. - Expertise in data structures, algorithms, and concurrency. - Experience building and operating real-time distributed systems, including patterns for resilient services. - Experience working with production ML systems and MLOps is a strong plus, but not required. - 2+ years of experience in DevOps practices towards deployment of SaaS services. - Knowledge of different data storage technologies, such as Redis and MySQL. - Knowledge of Docker and container orchestration frameworks such as Kubernetes. - Experience developing and maintaining services using AWS native products. - Experience with observability and monitoring tools. - Linux proficiency. Benefits - Competitive compensation, including equity for all employees. - Unlimited Paid Time Off (PTO). - Generous health and welfare plans to choose from. - Best-in-class Health Savings Account (HSA) employer contribution. - Affordable vision and dental plans for you and your family. - Employer-provided life and disability coverage with additional supplemental options. - Paid Parental Leave - Including birth, adoptive & foster parents. - One year of diaper delivery for your newest addition to the family. - Identity protection through Norton LifeLock. - Recurring monthly Phone and Internet allowance. - One-time home office allowance. - Remote first environment. - Company holidays. - Annual professional development and learning benefit. - Pick your own Apple MacBook Pro. - Retirement plan with competitive 401(k) match. - Wellness Program including Employee Assistance Program, 24/7 Telemedicine.