Sales Engineer (AI/Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: San Francisco, USA; hybrid work with in-person office attendance 2–3 days per week. Up to 20% travel within North America, with occasional trips to Europe. Regular early morning availability from 7:00 AM PT, with occasional meetings from 6:00 AM PT.
Annual base salary: $150,000–$170,000, plus variable incentive compensation and equity eligibility.
Company
builds an AI-native, composable data intelligence platform with agentic AI applications, embedded analytics, and APIs for secure enterprise data monetization.
What you will do
- Own the technical sales cycle for US mid-market and enterprise customers, from discovery and qualification through technical validation and close.
- Evaluate business goals, data stacks, AI roadmaps, integration requirements, and security criteria.
- Design solution architectures, data modeling strategies, and AI or agentic workflows; create recommendations, interactive demos, prototypes, and proofs of concept.
- Lead customized product demonstrations, technical workshops, executive briefings, conferences, webinars, and customer or partner events.
- Define PoC success criteria, manage check-ins, deliver technical readouts, and coordinate RFPs, RFIs, security questionnaires, and architecture reviews.
- Partner with Account Executives, Solution Engineering, Customer Success, European technical teams, and US data ecosystem partners on deal strategy, co-selling, and customer expansion.
Requirements
- 5+ years of experience in a customer-facing technical role, such as Sales Engineer, Solutions Engineer, Solution Architect, Field CTO, or Forward-Deployed Engineer, ideally selling B2B data, analytics, AI solutions, or developer platforms to US mid-market and enterprise buyers.
- Experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.
- Proactive ownership, including anticipating deal needs and driving prototypes, executive briefings, and next steps independently.
- Ability to run live demos for room or C-level audiences, handle difficult questions, and steer complex meetings.
- Strong grounding in analytics and data, including SQL, dimensional modeling, semantic layers, and cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, and Postgres.
- Hands-on prototyping skills with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, including daily use of AI coding tools such as Claude Code, Cursor, or Codex.
- Practical knowledge of AI and agentic systems, including LLMs, agents, MCP, RAG, tool use, evaluation, and guardrails.
- Strong written and verbal communication skills, including the ability to prepare briefs, recommendations, and handoffs for globally distributed stakeholders.
Nice to have
- Experience with or comparable platforms such as Looker, PowerBI, or Sigma.
- Experience selling AI, analytics, or data solutions to SaaS companies.
- Experience building AI applications, agents, or copilots beyond a prototype.
- Existing network in the Bay Area data and AI community or speaking experience at data and AI events or local meetups.
- Experience working with globally distributed engineering teams across time zones.
- AWS experience, including marketplace and co-sell motions.
- Early-stage experience building a presales function in a new region or market.
Culture & Benefits
- Collaborative work with US-based commercial teams and European technical, engineering, and product leaders.
- Paid time off, personal days, floating holidays, and volunteer days.
- Medical, dental, vision, life, voluntary life, AD&D, and employee assistance benefits.
- 401(k) matching, work-from-home stipends, parental leave, Gympass, Shine, and GrubHub+.
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