Sales AI Engineer
Remote · USFull-timeSeen 1w agoSeen in employer's feed 1w ago
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At a glance
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Job overview
Figma is building a Sales AI Transformation function to embed AI across sales workflows and reduce manual work. The founding Sales AI Engineer will design and ship AI-enabled workflows connecting sales systems, move prototypes into production, measure adoption and impact, and create reusable patterns for the broader go-to-market organization. The role can be based at a U.S. hub or remotely within the United States.
Skills & qualifications
Skills
Qualifications
Full job description
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figmas platform helps teams bring ideas to lifewhether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!Figma is building a Sales AI Transformation function to embed AI across the sales workflow - reducing manual work, improving decision-making, and simplifying how reps and managers operate day-to-day. As the founding Sales AI Engineer, youll be a hands-on builder who designs and ships AI-enabled workflows that connect systems like Salesforce, Slack, and our data stack. Youll move quickly from prototype to production, measure adoption and impact, and create reusable patterns that help the broader GTM organization build and scale what works. This is a full time role that can be held from one of our US hubs or remotely in the United States. What youll do at Figma: Build and operationalize AI-powered workflows that improve daily execution for sales reps and managers (e.g., account insights, CRM hygiene, coaching workflows, outbound research/personalization) Integrate across the GTM stack using APIs, automation platforms, and lightweight internal tools; ensure clean data flow and reliable execution Apply LLMs pragmatically: choose the lightest safe solution, constrain outputs, and build quality checks and monitoring so workflows can be trusted in production Partner with SalesOps, Enablement, and GTM Systems to align on requirements, rollout, governance, and production deployment Create reusable patterns (templates, agents, connectors, documentation) that enable distributed adoption rather than central dependency Define success metrics for each workflow, track adoption and business impact, and iterate based on real usage and outcomes We'd love to hear from you if you have: Experience shipping production-grade automations or internal tools across GTM systems (Salesforce + adjacent tooling), including integration troubleshooting and data hygieneHands-on experience building LLM-powered workflows (OpenAI, Anthropic, or similar), with an ability to explain how you ensured quality and safetyStrong coding ability plus comfort working with SQL and operational dataStrong product and stakeholder instincts: you can translate ambiguous needs into shippable solutions, and you care deeply whether what you build is adopted While not required, its an added plus if you also have: Familiarity with agentic patterns and experience instrumenting/monitoring AI workflows in productionExperience building internal Slack tooling or CRM-embedded experiences for sales teamsSalesforce development depth or strong equivalent CRM engineering experience At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If youre excited about this role but your past experience doesnt align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.Pay Transparency Disclosure If based in Figmas San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100%
How this job compares
Set against the 6,998 open AI Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This postingNot listed
- New York median$144–241K/yr434 salary ranges
- US median$30–78/hr135 hourly ranges
- Openings
- Olive Jobs lists 551 open AI Engineer jobs in New York and 6,998 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- PwC42 open
- Accenture36 open
- Capital One34 open
- Experience
- AI Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (5,939 postings).
- Education
- 2,904 of the 6,998 open AI Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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