Sales Engineer

GoodData.AI•San Francisco, CA

1d•$150,000 - $170,000•Hybrid

About The Position

GoodData.AI is hiring a Sales Engineer based in San Francisco to win new deals and grow US accounts. The role serves as the technical lead on US sales opportunities, independently leading customer demos and technical discussions, addressing difficult questions, building stakeholder credibility, anticipating technical challenges, and driving next steps. The Sales Engineer acts as a strategic technical advisor to enterprise customers, explaining how GoodData's Agentic Serving Plane—including its semantic layer, agentic AI capabilities, embedded analytics, and flexible APIs—fits into modern data architectures. The role owns technical activities throughout the sales cycle, from discovery and solution design through proofs of concept, technical validation, and procurement. It also supports go-to-market initiatives, account expansion, partner co-selling, and GoodData's public presence in the US. The position is hybrid, with in-person work at the San Francisco office 2–3 days per week, customer and event travel as needed, and up to 20% travel within North America plus occasional trips to Europe. Collaboration with European teams requires regular early-morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT.

Requirements

At least 5 years of experience in a customer-facing technical role, such as Sales Engineer, Solutions Engineer, Solution Architect, Field CTO, or Forward-Deployed Engineer; experience selling B2B data, analytics, AI solutions, or developer platforms to US mid-market and enterprise buyers is preferred.
A proactive, ownership-oriented approach to anticipating deal needs and driving opportunities forward.
Demonstrated experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.
Ability to lead live demonstrations and executive-level meetings, handle challenging questions, and steer conversations productively.
Grounding in analytics and data, including SQL, dimensional modeling, semantic layers, and cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Postgres.
Hands-on ability to build prototypes with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using 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, and the ability to distinguish practical capabilities from hype.
Strong communication skills, including the ability to write briefs, recommendations, and handoffs that distributed colleagues can act on without a follow-up call.

Nice To Haves

Experience with GoodData or comparable platforms such as Looker, PowerBI, or Sigma.
Experience selling AI, analytics, or data-related solutions to SaaS companies.
Experience building AI applications, agents, or copilots beyond the prototype stage.
An existing network in the Bay Area data and AI community, or a history of speaking at events such as Data + AI Summit, Snowflake Summit, or local meetups.
Experience working with globally distributed engineering teams across time zones.
AWS cloud experience, including marketplace and co-sell motions.
Early-stage experience helping build a presales function in a new region or market.

Responsibilities

Lead technical discovery by evaluating customer business goals, data stacks, AI roadmaps, integration requirements, and security criteria.
Design tailored solution architectures, data modeling strategies, and AI or agentic workflows, and turn them into actionable recommendations, interactive demos, and prototypes.
Deliver customized product demonstrations, technical presentations, and deep-dive workshops for prospect stakeholders and executive teams.
Support go-to-market initiatives, including technical outbound content, customer expansion playbooks, and workshops that drive new customer acquisition and cross-sell.
Define success criteria for proofs of concept, build and manage PoCs, conduct check-ins, and deliver final technical readouts.
Partner with Account Executives on deal strategy, opportunity qualification, mutual action plans, and technical validation.
Manage technical procurement activities, including RFPs, RFIs, security questionnaires, and architecture reviews, in coordination with cross-functional teams.
Present at conferences, meetups, partner events, and webinars, including talks and live demonstrations.
Represent GoodData at customer dinners, executive briefings, and booth sessions.
Work with US data ecosystem partners, such as Snowflake, Databricks, and cloud providers, on joint demos and co-selling.
Collaborate with US-based Account Executives, Solution Engineering, and Customer Success, and serve as a technical bridge to European technical sales, engineering, and product leaders.