Build the reason AI can be trusted

Confident AI is building the infrastructure that makes AI trustworthy. We help engineering teams evaluate, monitor, and improve the AI systems they ship to production.

We're hiring a Founding Growth Engineer to build our growth engine from scratch: the funnels, experiments, and instrumentation that acquire and activate users and tell us exactly what's working. This is a build-and-measure role, not a content or community role — you'll make decisions based on what the data says, and you'll work in person in San Francisco directly with the founders.

• Design and build a reusable, scalable growth engine from the ground up — the acquisition channels, funnel stages, experiment framework, and feedback loops that let us grow predictably rather than by luck.
• Own the growth funnel end to end, from first touch through sign-up and activation. Map it, instrument it, and find where users leak out.
• Build the instrumentation and attribution layer so every channel, page, and experiment can be measured against real outcomes — activated users, not traffic and vanity metrics.
• Run a weekly cadence of growth experiments across channels: organic and AI search (SEO/AEO), programmatic pages, lifecycle and onboarding flows, referral loops, and product-led triggers. Ship, measure, double down on what compounds, and kill what doesn't.
• Build the tooling yourself: data pipelines, dashboards, automation, scrapers, programmatic content systems, and the AI-agent workflows that let one person operate like a growth team.
• Turn data into decisions. Analyze funnel performance, cohort behavior, and channel efficiency, and reallocate effort toward what the numbers show is actually driving growth.
• Partner closely with the founders. They set direction; you build and scale the system that makes it grow.

• Experience in growth engineering, growth or product analytics, or a technical growth role — someone who builds systems and runs experiments rather than managing agencies or content calendars.
• You can code. Comfortable in Python and/or TypeScript/Node, building pipelines, attribution, automation, and internal tooling. You ship your own tools instead of waiting on someone else.
• Deeply data-driven. You're fluent in funnel and cohort analysis, know how to set up event tracking and attribution properly, and are honest about what the data does and doesn't tell you. This is the make-or-break trait for this role.
• Strong experimentation discipline: clear hypotheses, sensible sample sizes, and the willingness to kill your own ideas when the results say so.
• Practical understanding of modern acquisition channels — SEO, AEO/GEO (showing up in AI-generated answers), programmatic content, lifecycle, and product-led growth loops.
• Comfortable owning a growth metric tied to real outcomes — activated users, not stars or pageviews.
• Technical enough to understand a developer product and the engineers who use it, so the funnels you build make sense to the people going through them.
• Comfortable executing within a strategy the founders own, bringing strong opinions while staying in a build-and-execute seat.
• High-agency and comfortable with ambiguity. We're seed-stage; the playbook doesn't fully exist yet. Exceptional early-career candidates are welcome — ceiling matters more than years.
• Excited to work in person with the founding team in San Francisco.

• Build the growth engine from scratch — a repeatable, scalable system for acquiring and activating users that outlives any single campaign.
• Own the growth funnel and the metric that comes out of it, from first touch to activation.
• Own instrumentation and attribution, so the company always knows what's driving growth and what isn't.
• Set the data-driven, experiment-first culture that the future growth team is built on.

• You're building on a real foundation. Our open-source projects already have serious developer adoption — you're building the engine that turns that into predictable growth, not starting from zero.
• Build it your way: full ownership of the growth stack, the tooling, the data layer, and the experiments. If you can code it and it moves the metric, ship it.
• A seat at the table with the founding team, a high ceiling, and the foundation of a future growth team to build under you as the company scales.

Confident AI is building the infrastructure that makes AI trustworthy. We help engineering and product teams evaluate, monitor, and improve the AI systems they ship to production.

We're hiring a Founding GTM to own how technical teams discover Confident AI and take action — from first touch through sign-up or booked demo. This is a hands-on execution role: you build and run the engine, you own the numbers, and you work in person in San Francisco directly with the founders.

• Own the top and middle of the funnel, from developer and buyer discovery through nurture, conversion, and handoff into self-serve sign-up or booked demo.
• Identify high-intent users of our open-source projects and build the path that moves them toward the platform and a booked demo.
• Build our organic discovery engine across search, AI answer engines, comparison pages, guides, concept pages, and high-intent content that helps technical buyers understand the category.
• Turn the founders' product positioning into assets that convert: landing pages, CTAs, email sequences, lifecycle touchpoints, sales collateral, case studies, and launch content.
• Run demand generation experiments across inbound, product-led signals, content, events, and partnerships, and double down on what works.
• Own the conversion path from first touch to action, including lead capture, qualification, follow-up, routing, and the sequencing that turns interest into a real conversation.
• Strengthen Confident AI's authority in the market through customer stories, third-party mentions, directories, review sites, partner channels, and press-worthy narratives.
• Instrument the funnel, report on what is moving sign-ups and demos, and reallocate effort toward the channels, messages, and assets that are actually working.

• Experience in growth, demand generation, product marketing, founder-led sales, or a similarly full-stack GTM role at a B2B startup.
• Experience marketing or selling to technical buyers, ideally in developer tools, infrastructure, AI, data, observability, security, or another technical product category.
• Ideally, you've worked in a product-led or open-source-led GTM motion before and understand how bottoms-up developer usage becomes a commercial conversation.
• Strong writing and positioning instincts. You can turn a complex technical product into sharp, credible copy that engineers respect and buyers trust — and you write it yourself.
• A practical understanding of modern organic discovery: SEO, AI-search visibility, structured content, comparison pages, and content that gets cited, shared, and converted.
• Comfortable owning numbers across the funnel, including traffic, sign-ups, demos booked, conversion rates, attribution, and experiment readouts.
• Comfortable executing a strategy the founders own. You bring strong opinions and push back, but you're energized by execution, not by owning the strategy yourself.
• Willing to do the work yourself. You'll write pages, ship campaigns, qualify leads, run sequences, talk to customers, and build lightweight systems before hiring a team.
• High-agency and comfortable with ambiguity. We're seed-stage — you identify what matters, make a plan, and move fast.
• Former founder experience is a plus — you know what it feels like to create demand from zero and make progress without a defined playbook — as long as you're happy executing a strategy the founders set.
• Excited to work in person with the founding team in San Francisco.

• Be the reason more technical teams discover Confident AI, understand why it matters, and take action.
• Build the repeatable GTM engine that turns organic demand and product interest into real conversations.
• Execute and amplify the market narrative for AI evaluation, monitoring, and reliability that the founders set, as the category grows.
• Create the foundation for the future marketing and growth team at Confident AI.

• Clear ownership: the founders own strategy; you own execution and the metrics. No ambiguity about who drives what.
• A seat at the table: direct access to the founding team and real input into positioning, product launches, and company strategy.
• The timing: AI reliability is becoming a must-have category, and you'll help define how the market understands it.

Confident AI is building the infrastructure that makes AI trustworthy. We created DeepEval, the open-source evaluation framework, and we build the platform engineering teams use to ship reliable AI products.

We're looking for a Founding Developer Advocate to own the developer experience from first touch to activation, across both our open-source projects and our platform. You'll create the content, build the community, and represent us at events alongside the founders — with the freedom to define the strategy and own the results.

• Own developer content strategy and execution across both DeepEval (open-source) and the Confident AI platform (commercial product). These are distinct products with different audiences and different adoption paths — you'll understand both and create content that serves each.
• Create onboarding content, demo videos, tutorials, and technical walkthroughs that help developers get value from the product fast.
• Build and grow our developer community. Be present in the forums, Discord channels, GitHub discussions, and social platforms where our users spend time. Engage with them as a peer, not a marketer.
• Represent Confident AI at developer events, meetups, and conferences alongside the founders. We're all out there building relationships and talking to developers — you'll be a key part of that.
• Write technical blog posts, thought leadership, and sharp content that positions us as the authority in AI evaluation and testing infrastructure. Real insight, not recycled takes.
• Be the voice of the developer internally. You'll have direct influence on product decisions based on what you're hearing from the community.
• Own competitive positioning in developer conversations. Make sure we show up in every discussion where engineering teams are evaluating AI infrastructure solutions.
• Coordinate with the founding team on product launches across both open-source and commercial products.

• 3+ years of experience in developer relations or developer advocacy at a developer tools, open-source, or infrastructure company. This is non-negotiable — the autonomy we're offering requires that you've done this before and done it well.
• Has an existing network in the developer tools and AI community. You know people, and people know you. When you vouch for a product, it carries weight.
• Understands the difference between open-source community building and commercial product marketing, and can navigate both authentically.
• Can actually write — clear, sharp technical content that developers respect, not marketing copy they scroll past.
• Comfortable on camera and on stage. You'll be producing video content and speaking at events regularly — this isn't optional.
• Proficient with AI tools like Claude Code and Cursor as part of your daily workflow.
• Technical enough to understand the product deeply and speak credibly to engineering teams about AI evaluation, testing, and observability.
• Self-directed and high-agency. You don't wait to be told what to do — you identify what matters, make a plan, and ship.
• Comfortable with ambiguity and fast iteration. We're a seed-stage startup; the playbook doesn't exist yet.

• Be the reason developers go from signing up to becoming active, engaged users of both DeepEval and the Confident AI platform.
• Shape how the developer community perceives us and the category we're defining.
• Directly influence product direction based on what you're hearing from developers every day.
• Build the community and content engine that scales with the company from seed to market leader.

• Full autonomy: You own the strategy. We're not hiring you to follow a playbook — we're hiring you to write it.
• A seat at the table: Direct access to the founding team, influence on product decisions, and a voice in company strategy.
• The problem: You'll work on the problem that makes all other AI work trustworthy. The impact ceiling here is massive.

Confident AI is building the infrastructure that makes AI trustworthy. Engineering teams spend hours a day inside our platform looking at traces, evals, and test results — the frontend isn't a layer on top of the product. It is the product.

We're hiring a Founding Product Engineer to own that product end-to-end: talk to users, decide what gets built, design the UI yourself, and ship it down to the API routes that power it. No PM writing specs, no designer handing you mocks.

• Own user-facing features from product decision to design to shipped code. You make the design calls — there are no Figma files waiting for you.
• Build data-dense, fast, polished interfaces for traces, evaluation results, and testing workflows — the screens our users live in every day.
• Talk to users, understand their workflows, and turn what you learn into product decisions. You're the engineer in the room closest to the customer.
• Work across the stack. Most of your time is in the frontend, but you'll write the API routes, queries, and server logic your features need without waiting on anyone.
• Architect the frontend to last — the components, state management, and patterns you establish need to hold up as the product and team grow around them.
• Set the standard for product quality and user experience that every engineer we hire after you builds to.

• 3+ years building production web applications, ideally at a fast-moving product company or startup.
• Deep proficiency with React, Next.js, TypeScript, and CSS. You don't reach for a UI library because you can't write the styles yourself — you reach for one when it's the right call.
• A genuine eye for design. You notice when spacing is off by 2px, you have opinions on motion and hierarchy, and you can take a feature from idea to polished UI without a designer.
• You understand frontend at scale — rendering performance, state management, data fetching, and architecture that doesn't collapse as the product grows.
• Enough backend fluency to move fast — databases, APIs, caching, auth. You won't be scaling them, but you build against them confidently.
• Fluent with AI coding tools like Claude Code and Cursor as part of your daily workflow. At our size, every engineer operates at a multiplied level.
• You think in user experiences, not components. The question you ask is 'what should this feel like to use,' not 'what props does this take.'
• High-agency and comfortable with ambiguity. We're seed-stage — you identify what matters, make a plan, and ship.

• Be the reason our platform feels like the best product in AI infrastructure, not just the most capable one.
• Own the user experiences that engineering teams interact with for hours every day.
• Set the product engineering bar the rest of the team builds to as we scale from seed to market leader.

• Full ownership: you decide what gets built and how it feels, and you ship it yourself.
• A seat at the table: direct access to the founding team at the stage where every product decision compounds.
• The problem: you'll work on what makes all other AI work trustworthy. The impact ceiling is massive.

Confident AI is building the infrastructure that makes AI trustworthy. We maintain the open-source projects AI engineers use every day: DeepEval for LLM evaluation, DeepTeam for red teaming, and confident-trace for OpenTelemetry-native tracing.

We're hiring an Open Source Research Engineer to keep those projects at the frontier and make sure developers know it. Half the role is reading new research and shipping it — a novel attack method in DeepTeam, a new metric in DeepEval, a new integration in confident-trace. The other half is showing that work to the world through technical content, video tutorials, and social media. You'll work in person in San Francisco directly with the founders.

• Track the research frontier in LLM evaluation, red teaming, and agent observability. Read new papers, benchmarks, and attack techniques as they come out and decide what's worth implementing.
• Implement what you find. Ship novel attack methods and vulnerability classes in DeepTeam, new metrics and evaluation techniques in DeepEval, and new framework and provider integrations across DeepEval and confident-trace.
• Build integrations with the agent frameworks, model providers, and tools AI engineers actually use, so our projects work out of the box wherever they're building.
• Create technical content around the work: blog posts, docs, and written deep dives that explain the research, the implementation, and how to use it in practice.
• Produce video tutorials and walkthroughs — from short feature demos to longer end-to-end guides — that help developers get value from the projects fast.
• Run our social media presence for the open-source projects. Announce releases, share what's new in the research, and engage with the developer and AI safety communities on X, LinkedIn, YouTube, and wherever else they gather.
• Engage in the community. Answer questions on GitHub and Discord, triage issues, and turn what you hear from users into roadmap input for the founders.

• Strong Python, with the ability to read a research paper and turn it into a clean, tested, well-documented implementation. TypeScript is a plus for confident-trace and the JS ecosystem.
• Genuine interest in LLM evaluation, AI security and red teaming, and agent observability. You already follow this research and have opinions on it.
• Comfortable working in and contributing to open-source codebases — you understand how to ship a feature that thousands of people will pull tomorrow.
• Can write clear, credible technical content that engineers respect, and can explain a complex idea simply without dumbing it down.
• Comfortable on camera. You'll be producing video tutorials and demos regularly, and you'll be one of the public faces of our open-source projects.
• Comfortable running a social media presence for a technical audience — you know what makes developers stop scrolling and what makes them roll their eyes.
• Fluent with AI coding tools like Claude Code and Cursor as part of your daily workflow.
• High-agency and comfortable with ambiguity. We're seed-stage — you identify what matters, make a plan, and ship. Exceptional early-career candidates are welcome.
• Excited to work in person with the founding team in San Francisco.

• Keep DeepEval, DeepTeam, and confident-trace at the frontier of what the research says is possible.
• Be the reason developers discover what's new in our projects and understand how to use it.
• Grow the open-source community around our projects.

• Real reach: your implementations and content ship to a large, active developer base the day they land, not into a void.
• Research with a shipping cadence: you read the papers and you write the code, and both count.
• A seat at the table with the founding team, and direct influence over the roadmap of three open-source projects.