Fireworks AI

1 week ago

Head of GTM Engineering & Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead GTM Engineering to own the full revenue and sales technology stack—from Salesforce architecture and CPQ/quoting to enrichment, routing, and engagement tooling—while building agentic AI workflows that become the new operating baseline. Define the quoting and lead-to-revenue architecture from scratch, increase GTM productivity with measurable impact, and grow a team by setting technical standards and scalable hiring/career paths.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Own the GTM tech stack, including Salesforce architecture, enrichment, routing, engagement tooling, and integrations between them.
•Build a durable quoting and lead-to-revenue architecture from scratch to enable deal progression without RevOps bottlenecks.
•Create agentic AI workflows for GTM teams, including AI-assisted research, deal intelligence, pipeline hygiene, and manager insights.
•Grow and scale the GTM Engineering team by defining hiring profiles, setting technical standards, and building career paths.
•Lead technical direction as a builder, making hard architectural decisions and shipping fast while raising the bar for execution quality.

Pay and Benefits

Salary: USD 250,000 - 270,000 annually

Equity and Bonus:Equity

Key Requirements

•10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies, with consumption business model experience strongly desired.
•5+ years of people management experience.
•Architected in Salesforce with deep expertise in data model, process automation, integrations, governance, and familiarity with modern CLI/MCP setups.
•Drove sales rep productivity enhancements measured in $ impact, not just time saved.
•Built or rebuilt quoting or CPQ workflows at meaningful scale and led teams to set technical direction.

Experience:B2BSeries B to DConsumption business modelAI/ML infrastructureDeveloper toolsAPI-first

Skills:LeadershipArchitectingTechnical directionProcess automationStakeholder collaboration

Languages:English

Tech Stack:SalesforceCPQClayHarmonicSumbleLeanDataGongLemlistGranolaGoogle DocsSlackCLIMCPLLM inferenceFunction callingMultimodal models

Company Brief

Fireworks AI

Develops AI-driven tools to generate and optimize visual marketing content for brands and creators, automating production of short-form videos and multimedia assets for social platforms to improve engagement and scale creative workflows.

Industry: SaaS

Website

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Fireworks AI

1 week ago

Head of GTM Engineering & Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Own the GTM tech stack, including Salesforce architecture, enrichment, routing, engagement tooling, and integrations between them.
•Build a durable quoting and lead-to-revenue architecture from scratch to enable deal progression without RevOps bottlenecks.
•Create agentic AI workflows for GTM teams, including AI-assisted research, deal intelligence, pipeline hygiene, and manager insights.
•Grow and scale the GTM Engineering team by defining hiring profiles, setting technical standards, and building career paths.
•Lead technical direction as a builder, making hard architectural decisions and shipping fast while raising the bar for execution quality.

Pay and Benefits

Salary: USD 250,000 - 270,000 annually

Equity and Bonus:Equity

Key Requirements

•10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies, with consumption business model experience strongly desired.
•5+ years of people management experience.
•Architected in Salesforce with deep expertise in data model, process automation, integrations, governance, and familiarity with modern CLI/MCP setups.
•Drove sales rep productivity enhancements measured in $ impact, not just time saved.
•Built or rebuilt quoting or CPQ workflows at meaningful scale and led teams to set technical direction.

Experience:B2BSeries B to DConsumption business modelAI/ML infrastructureDeveloper toolsAPI-first

Skills:LeadershipArchitectingTechnical directionProcess automationStakeholder collaboration

Languages:English

Tech Stack:SalesforceCPQClayHarmonicSumbleLeanDataGongLemlistGranolaGoogle DocsSlackCLIMCPLLM inferenceFunction callingMultimodal models

Company Brief

Fireworks AI

Industry: SaaS

Website