Join the team of high professionals working with deep AI domain expertise.
Join the team of high professionals working with deep AI domain expertise.
Experience in one or more of the following areas: Deep Learning, data mining or artificial intelligence.
Expert knowledge developing production-level ML products.
Experience in demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
Compensation and/or shares are to be discussed depending on your level and location.
Apply relevant AI and machine learning techniques to train an audio-driven facial reenactment model.
Define use cases and develop methodology and benchmarks to evaluate different approaches.
Improve generated video resolution to increase customer satisfaction level and support this product.
Develop our text to speech generator.
MS degree in Computer Science or related quantitative field with 5+ years of machine learning related work or research, or PhD degree in Computer Science or related quantitative field.
Experience developing machine learning algorithms or machine learning infrastructure in PyTorch / TensorFlow.
Experience with filesystems, server architectures and distributed systems.
JavaScript experience, including concepts like asynchronous programming, closures, types, and ES6. Experience with React is a bonus
HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
Experience with browser APIs and optimizing front end performance.
Compensation and / or shares are to be discussed depending on your level and location.
Develop our main website and web client.
Architect efficient and reusable front-end systems that drive complex web.
Collaborate with Product Designers and Software Engineers to deliver compelling user-facing product.
Identify and resolve performance and scalability issues.
BS/MS in Computer Science or a related technical field preferred.
Design skills and the proven experience to lead in cross-functional environments.
4+ years of experience in shipping software products.
Portfolio featuring examples of interaction and visual work.
Experience thinking at a high level about product strategy and vision.
Compensation and / or shares are to be discussed depending on your level and location.
Develop design of the web client for our AI video generation solution.
Contribute to strategic decisions, working with the engineering team and customers.
Design end-to-end flows and visuals and individually contribute to the feature set.
Give and solicit feedback from others to raise the quality and craftsmanship of the product.
Help build product strategy.
Thrive in dynamic, fast-paced environments.
5+ years selling enterprise SaaS into L&D, HR, or compliance buyers, with a track record of closing six-figure ACVs in regulated industries (pharma, automotive, aerospace, chemicals, energy, financial services).
Comfort owning the full cycle: outbound, technical scoping, multi-stakeholder negotiation, procurement, legal.
Strong written and verbal presence with CHROs and Heads of Compliance, not just learning managers.
Sit in early discovery with CHROs and compliance leads on what their current training stack misses, especially around assessment integrity and proof of completion.
Own pricing conversations end to end, including pilot-to-production conversion math.
Work directly with the founder and product team on enterprise-specific feature negotiation. We still custom-build for the right account.
Build a 50–80 account territory plan for your region. We are not running a 5,000-account spray motion.
Hand you a pre-built playbook. The playbook is being written in real time and you will write parts of it.
Promise a clean SDR-to-AE pipeline. You will prospect into your own list while we build it out.
Pretend the product is finished. We sell on the trajectory, not just the demo.
8+ years shipping production web applications, with at least 3 in a technical leadership role (Tech Lead, Staff, Principal, or hands-on EM).
Deep React and TypeScript experience plus working Python/Django competence. You own end-to-end frontend architecture and can reason about the backend that feeds it.
Track record of mentoring engineers and raising the quality bar without micromanaging.
Audit the current frontend architecture and propose a 6-month plan against it.
Lead the frontend rollout of the analytics dashboards we are shipping this quarter, in partnership with the AI team.
Run weekly 1:1s with the web engineers. Real coaching, not status updates.
Set the bar for what ships to production: review standards, on-call rotation, incident response.
Opinions backed by reasoning, not religion. We don't care whether you prefer Redux or Zustand, we care that you can defend the trade-off.
Comfort with ambiguity. We're pre-Series A and the roadmap moves.
Willingness to ship code yourself in the first six months. We don't want a pure manager who hasn't touched a keyboard in two years.
8+ years in ML or AI engineering, with at least 3 leading a team that shipped generative AI to production. Not research, not prototypes.
Deep hands-on experience with LLM orchestration, RAG, agentic systems, and eval frameworks. Expert Python.
Track record of mentoring ML engineers and raising the bar on eval rigour, not just model swaps.
Audit the content-to-course pipeline end to end (ingestion, generation, video and voice synthesis, assessment) and produce a 6-month plan against it.
Drive the assessment integrity layer: the models and evals that prove real comprehension, not just completion.
Set the bar on eval rigour: prompt evals, hallucination detection, regression tests every time a model swaps.
Run weekly 1:1s with the AI engineers. Coaching, not status reports.
Opinions on which models for which tasks, backed by your own eval data, not vendor docs or Twitter.
Comfort with the trade-off between model quality, cost, and latency. You have shipped this trade-off before.
Willingness to write production code yourself for the first six months. We don't want a pure manager.