Freshworks

GTM AI Engineer

$192K–$238KFull-time · San Mateo, CA
✓ Verified live on the employer's own system · added 45 days ago
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Skills & tools

Machine LearningOperationsManagementSalesCRMSalesforceMarketingGit

Benefits — mentioned in this posting

Remote / flexibleHealth, dental & visionEquity / stockPaid time offCommuterWellness & perksFamily / parental leave
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Full job description

Responsibilities

At Freshworks, we're introducing AI across our go-to-market organization to accelerate how we understand buyers and act on revenue signals.

As a key member of the Web & Revenue Marketing team, you will build the internal agents, workflows, and intelligence systems that help our frontline teams operate more effectively. Currently, our buyer signals are scattered across systems like Salesforce, Marketo, Outreach, product usage data, and intent platforms. Your role will be to bridge these gaps—connecting the signals, providing context, and enabling teams to take fast action.

You'll have full executive sponsorship, high-impact problems to solve, and a blank canvas to shape how AI is applied across the Freshworks go-to-market organization.

What You Will Do
  • Build AI-Powered GTM Workflows: Design and deploy intelligent workflows across lead management, account research, routing, scoring, prioritization, personalization, seller briefings, and follow-up support.
  • Turn Buyer Signals into Action: Build systems that detect, enrich, prioritize, and act on high-value buyer activity across the funnel by engineering contextual data pipelines (web activity, intent, product usage, CRM history).
  • Create the GTM Agent Tool Layer: Integrate tools and APIs across our stack, including Salesforce, Clay, Marketo, Relevance, Claude Code, sales engagement platforms, web analytics, enrichment providers, and internal data sources.
  • Build Intelligent Alerts: Create systems that notify teams of critical buyer activity, such as target account engagement, key persona activity, competitor mentions, buying committee movement, or stalled follow-up.
  • Move Prototypes to Production: Take working AI/automation concepts and harden them with robust authentication, logging, tracing, retries, error handling, documentation, and cost controls.
  • Partner Across the Revenue Engine: Collaborate with Web, Marketing Ops, Sales Ops, Demand Gen, RevOps, SDR/BDR teams, and Core Engineering to translate business needs into scalable systems.
Requirements
What We Are Looking For 
Technical & AI Engineering Experience: 
  • Background: Experience as a Software Engineer, Automation Engineer, GTM/ RevOps Engineer, or AI/ML Engineer working with complex systems and varied datasets.
  • AI/LLM Application: Hands-on experience building AI or LLM-powered applications, automations, or workflows using patterns like function calling, structured outputs, LangGraph, MCP, or custom orchestration (e.g., Claude, OpenAI, Relevance).
  • Integration Skills: Strong technical skills with APIs, webhooks, OAuth, queues, retries, and system integrations.
  • Production Standards: Experience with evals, monitoring, observability, and quality/cost controls for AI systems.
GTM & Domain Knowledge: 
  • Revenue Operations: Strong understanding of inbound/outbound GTM motions and experience building automations for lead management, prospecting, routing, qualification, or prioritization.
  • Tech Stack: Experience integrating CRM Systems (Salesforce), marketing automation (Marketo), sales engagement platforms, GitHub, and internal data warehouses.
  • Execution: Strong program ownership in ambiguous environments; ability to translate non-technical revenue team needs into technical solutions.
Nice to Have
  • Background working directly with Sales, Sales Development, Marketing Ops, Revenue Operations, or Growth Engineering teams.
  • Experience structuring messy, unstructured data from transcripts, emails, notes, forms, and intent signals into clean inputs.
  • Experience with web personalization, experimentation, conversion optimization, or buyer journey systems.
  • Experience building internal-facing tools that directly improve front-line team productivity.

We encourage you to apply even if you do not meet every qualification. Strong candidates may come from engineering, revenue systems, automation, AI, growth, or technical GTM backgrounds. If you can build reliable systems that help revenue teams act faster and smarter, we would like to hear from you.

We Are Looking For
Technical & AI Engineering Experience:

- Background: Experience as a Software Engineer, Automation Engineer, GTM/ RevOps Engineer, or AI/ML Engineer working with complex systems and varied datasets. - AI/LLM Application: Hands-on experience building AI or LLM-powered applications, automations, or workflows using patterns like function calling, structured outputs, LangGraph, MCP, or custom orchestration (e.g., Claude, OpenAI, Relevance). - Integration Skills: Strong technical skills with APIs, webhooks, OAuth, queues, retries, and system integrations. - Production Standards: Experience with evals, monitoring, observability, and quality/cost controls for AI systems.

GTM & Domain Knowledge:

- Revenue Operations: Strong understanding of inbound/outbound GTM motions and experience building automations for lead management, prospecting, routing, qualification, or prioritization. - Tech Stack: Experience integrating CRM Systems (Salesforce), marketing automation (Marketo), sales engagement platforms, GitHub, and internal data warehouses. - Execution: Strong program ownership in ambiguous environments; ability to translate non-technical revenue team needs into technical solutions.

Nice to Have

- Background working directly with Sales, Sales Development, Marketing Ops, Revenue Operations, or Growth Engineering teams. - Experience structuring messy, unstructured data from transcripts, emails, notes, forms, and intent signals into clean inputs. - Experience with web personalization, experimentation, conversion optimization, or buyer journey systems. - Experience building internal-facing tools that directly improve front-line team productivity.

We encourage you to apply even if you do not meet every qualification. Strong candidates may come from engineering, revenue systems, automation, AI, growth, or technical GTM backgrounds. If you can build reliable systems that help revenue teams act faster and smarter, we would like to hear from you.

Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters.

The annual base salary range for this position is $192,000 - $238,000. This role is also eligible for a target bonus.

Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level.

Freshworks offers multiple options for dental, medical, vision, disability, and life insurance. Equity + ESPP, flexible PTO, flexible spending, commuter benefits, and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits.

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business.

Fresh vision. Real impact. Come build it with us.

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This posting was published by Freshworks on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.