# Staff Software Engineer, Applied AI at Valence

- Company: Valence
- What the company does: Valences AI Powered Leadership Coach allows enterprises to offer executive level coaching at scale. Backed by Bessemer and Insight.
- Company website: https://www.valence.co/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, California
- Work setup: Remote
- Posted: 2026-06-25
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/jobs-valence/8b9588da-448d-4df3-8eff-2925bbcf9308
- Page: https://www.1752.vc/careers/jobs/valence-staff-software-engineer-applied-ai/

## About the role

As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching , working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution - helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale .

## What they're looking for

- Technical foundation: 8+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)
- AI systems mindset: Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge
- Data tooling & analysis: Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark , plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) to explore and communicate insights
- Cloud & deployment experience: Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes)
- Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams
- Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture

Tags: Engineering