GTM Engineer

Flam; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Flam builds AI models and products for interactive content, taking the internet beyond videos. We’re seeking a GTM engineer to design data, automation and AI workflows to find buyers and personalize outreach at scale.

You’ll build outbound/inbound engines, apply LLMs to sales workflows, and own GTM data architectures while collaborating with sales leaders and product teams. Position based in San Francisco, with US market scope.

Qualifications

• 5–10 years in GTM engineering, revenue operations, growth engineering or technical sales/solutions roles.
• Hands-on experience applying LLMs and agents to real sales or marketing workflows.
• Strong CRM and data skills (SQL, data modelling, enrichment pipelines).
• Understanding of B2B enterprise sales cycles, ideally in AI, adtech or martech.
• Bias to ship: you prototype in days, measure and iterate.
• Clear communicator who works well with sales leaders and founders.

Responsibilities

• Build outbound and inbound engines: prospecting, enrichment, scoring, routing and sequencing across tools like Clay, Apollo, HubSpot/Salesforce, Outreach/Salesloft.
• Build AI-powered GTM workflows and agents for account research, personalised outreach, meeting prep, follow-up and CRM hygiene.
• Use Flam's own products in the funnel, for example personalised Flicks or Visual Agent experiences sent to target accounts as outreach, and prompt-generated demo Flams for prospects.
• Own GTM data: CRM architecture, ICP definition, lead and account scoring, attribution and dashboards.
• Build technical demos and proof-of-concepts with Sales using the Flam platform, its embeds, links and Flam Codes.
• Run experiments across segments and geographies and report clear results.
• Automate pipeline, conversion and campaign reporting.
• Feed customer and market signals back to Product and Engineering.

Skills

GTM engineering

Revenue operations

Growth engineering

Technical sales

Tools

CRM tooling (Salesforce)

SQL

Data modelling

Enrichment pipelines

Job description

Flam builds AI models and products for interactive content, taking the internet beyond videos. We've raised a $40M Series B led by QED Investors, with Shah Rukh Khan among our backers.

Our products (three AI-native interactive formats):

Flicks: one video that holds multiple variations. Viewers can swap the character, product or scene with under 10ms switching latency, and AI compression cuts asset size by about 60%.

Airboards: high-fidelity 3D streamed like video through the camera interface. Viewers interact by touch, voice and haptics, with no app download and about 300ms to first buffer.

Visual Agents: photoreal talking avatars created from a single image, conversing with natural expressions in 60+ languages at about 800ms latency.

Fable 2.0 is a flow-matching diffusion transformer for product animation and 3D content.

Fantom 1.0 synthesises identity-preserving video from a single face image plus audio.

Falcon 1.0 is a 26B-parameter Mixture-of-Experts LLM.

Finesse 1.0 is a non-autoregressive speech engine for multilingual TTS in 60+ languages.

Forge 1.0 is a video editing model for object, character and environment swaps.

Brands ship Flams through web embeds, shareable links (ads, social, SMS, email) and Flam Codes on physical channels such as outdoor, CTV, retail and events.

The role

You'll build the systems that let a small GTM team reach and convert a large number of accounts. Flam sells AI-native interactive content to brands and enterprises, so you'll design the data, automation and AI workflows that find buyers, personalise outreach at scale, and get prospects to experience the product quickly.

What you'll do

Build outbound and inbound engines: prospecting, enrichment, scoring, routing and sequencing across tools like [Clay, Apollo, HubSpot/Salesforce, Outreach/Salesloft]

Build AI-powered GTM workflows and agents for account research, personalised outreach, meeting prep, follow-up and CRM hygiene

Use Flam's own products in the funnel, for example personalised Flicks or Visual Agent experiences sent to target accounts as outreach, and prompt-generated demo Flams for prospects

Own GTM data: CRM architecture, ICP definition, lead and account scoring, attribution and dashboards

Build technical demos and proof-of-concepts with Sales using the Flam platform, its embeds, links and Flam Codes

Run experiments across segments and geographies (US first, then APAC and other markets) and report clear results

Automate pipeline, conversion and campaign reporting

Feed customer and market signals back to Product and Engineering

What we're looking for

5–10 years in GTM engineering, revenue operations, growth engineering or technical sales/solutions roles

Hands-on experience applying LLMs and agents to real sales or marketing workflows

Strong CRM and data skills (SQL, data modelling, enrichment pipelines)

Understanding of B2B enterprise sales cycles, ideally in AI, adtech or martech

Bias to ship: you prototype in days, measure and iterate

Clear communicator who works well with sales leaders and founders

Nice to have

Experience with generative-AI products or creative tooling

Experience selling to or supporting brand marketers and agencies

Built a GTM stack from scratch at an early-stage company