Private Company

Strong preference for New York City. Hybrid in the Bay Area is possible due to customer proximity What you will do: Own core AI and backend systems that ingest, process, and search across large volumes of evidence (calls, reports, documents, transcripts, and more). Design and implement retrieval/RAG pipelines for unstructured and structured data, making it fast and reliable for investigators to find what they need. Prototype with new models and tools (LLMs, embeddings, vector databases, observability stack), then harden the best ideas into production systems agencies can trust. Collaborate closely with forward-deployed engineers and users to turn real-world feedback from detectives and prosecutors into concrete ML features and ranking improvements. Contribute across the stack when needed (APIs, internal tools, evaluation dashboards) to keep the overall AI surface area robust, monitored, and maintainable. Required Skills and Experience Qualifications 3+ years of professional software engineering experience with strong backend fundamentals (distributed systems, APIs, and data modeling) in a modern stack (e.g., Python + TypeScript/React or similar). Hands-on experience building and shipping ML/AI systems used by real users, ideally involving LLMs or other deep-learning models (not just research or PoCs). Experience with retrieval/RAG or similar architectures over unstructured text or multi-modal data (documents, transcripts, logs), including designing data pipelines and evaluation approaches. Comfortable working end-to-end: from understanding investigator workflows and problem framing to designing experiments to deploying and monitoring models in production. Strong communication and collaboration skills; able to work directly with founders, forward-deployed engineers, and non-technical stakeholders in a small, fast-moving, mission-driven team.

Job Overview And Responsibility About the Role This isn't your typical "culture" role they need someone who can literally feel when the vibe is off and course-correct before it impacts velocity. What You'll Do: Conduct daily "vibe checks" across all departments and flag anomalies to leadership Design and implement vibrational strategies that align with our mission to build AGI responsibly Own the energy of all-hands meetings, offsites, and high-stakes investor presentations Develop KPIs around team morale, creative flow states, and psychological safety Serve as the organizational barometer if something feels weird, you'll know first Curate Spotify playlists that enhance focus during deep work sprints Mediate "vibe conflicts" before they escalate to actual HR issues Partner with our Chief People Officer to ensure hiring decisions pass the vibe test Required Skills and Experience Requirements: 7+ years of experience reading rooms (professionally or as a highly observant human) Proven track record of making awkward situations less awkward Deep understanding of startup culture, AI ethics, and why both matter Exceptional emotional intelligence can sense a Slack thread going sideways from three channels away Experience with mindfulness practices, team dynamics, or organizational psychology preferred Must be comfortable saying "the vibe is off" in executive meetings Bonus: Synesthesia or claimed ability to see auras You Might Be a Fit If: You've ever been told you "light up a room." People naturally confide in you, even strangers at coffee shops You can tell when someone's about to quit before they can You think "culture deck" shouldn't be a PowerPoint; it should be a feeling You've successfully changed the energy of a death march sprint