GTM Engineer, AI Job at Vanta

GTM Systems & AI Engineer

You’ll drive our shift to an AI-first GTM operating model across Sales and Custo...

Location

United States

Salary:

133600.00 - 157000.00 USD / Year

Confluent

Expiration Date

Until further notice

Requirements

3 to 7+ years in Revenue Operations, GTM Systems, Sales Ops, CS Ops, Business Systems, or similar roles improving GTM execution through process, systems, and automation
A pattern of taking ambiguous GTM problems, getting to the root cause fast, and shipping improvements that teams actually adopt
Strong judgment and follow-through: you surface tradeoffs early, close open loops, and keep work moving from idea to rollout to iteration
Comfort with the technical basics that power modern GTM automation, including APIs/webhooks, JSON payloads, and SQL for validation or analysis (BigQuery preferred)
Salesforce fluency and comfort working across pipeline, lifecycle, and post-sales workflows

Job Responsibility

Own AI intake and delivery across Sales and CSG: run intake, clarify business problems, define requirements and success metrics, prioritize the backlog, and drive initiatives from 0 to 1 through release and iteration
Build and ship AI workflows end-to-end: map current-state processes, identify friction, design future-state workflows, and implement agents and automations that teams can rely on day to day
Partner cross-functionally to unblock delivery: work day-to-day with Sales, Customer Success, Marketing Ops, Business Technology, Data Science, Finance, and Legal to align on requirements, data usage, governance, and measurable outcomes
Build with guardrails: embed permissioning, auditability, and compliance requirements into workflows from day one
Launch what you build: drive rollout with lightweight enablement (training assets, office hours, comms), gather feedback, and continuously improve workflows after release
Own quality and operational rigor: create test plans, run QA, manage prompt and workflow versioning, and maintain documentation, runbooks, and release notes so delivery is safe and repeatable
Measure impact and iterate: track adoption and performance, validate results in partnership with Ops and Analytics, and continuously improve workflows based on usage and outcomes

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Fulltime

GTM Engineer - Automation and AI

This is a builder role. You will own the automation and AI layer of our GTM Engi...

Location

India , Gurugram

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

5–8+ years of backend engineering experience — Python, Node.js, or similar as primary language
Strong experience building RESTful APIs, microservices, and event-driven integrations
Hands-on experience with workflow automation and orchestration tools — n8n, Zapier, Workato, or equivalent
Demonstrated experience using AI coding assistants (Claude Code, GitHub Copilot, GPT-based tools) as a core part of development workflow — not experimentation
Frontend development experience (React or similar) — sufficient to ship functional internal tools independently
Experience working with Salesforce APIs and platform integrations
Familiarity with cloud platforms (AWS, GCP, or Azure) and modern deployment workflows
Strong data modeling and database knowledge
experience working with or querying Snowflake a plus
Ability to leverage LLMs for prototyping, debugging, and workflow automation design

Job Responsibility

Design and deploy AI-enabled automation workflows across the GTM stack using workflow orchestration tooling (n8n is our current platform — evaluate and recommend alternatives as appropriate)
Build LLM-powered tools for pre-call research, deal intelligence, pipeline gap analysis, and automated executive briefings — using AI coding assistants such as Claude Code or equivalent
Integrate LLM capabilities into operational revenue workflows — prompt engineering, output parsing, confidence scoring
Build Gong engagement gap alerts, forecast variance analysis workflows, and SE utilization tracking automations
Develop and maintain event-driven, API-to-API integration patterns connecting Salesforce, Gong, Snowflake, Slack, and Marketo
Rapidly prototype and ship internal GTM tools using AI-accelerated development — Claude Code, GitHub Copilot, or equivalent AI coding assistants
Build lightweight frontend interfaces for internal sales and revenue teams where self-service replaces manual requests
Develop backend services and APIs to extend CRM and GTM platforms beyond their native capabilities
Build services for pipeline analysis, forecasting support, and deal intelligence that feed leadership dashboards and regional reporting
Develop data pipelines and transformations that move GTM events from source systems into Snowflake for downstream analytics

Fulltime

GTM Engineer - ZenML & Kitaru

We're hiring a GTM Engineer to own the motion that turns curious developers into...

Location

Germany , Munich

Salary:

Not provided

ZenML

Expiration Date

Until further notice

Requirements

2–5 years building or marketing developer tools, ideally in AI/ML/data infra
You've shipped code that real engineers used - a side project, a library, an integration, a demo app that got attention
You've done outbound to technical buyers before - DevRel that turned into pipeline, BD, founding sales, technical PMM, or growth at a dev-first startup
You build agents on weekends
You have opinions about which frameworks are real and which are demos
You can architect a memory layer or an integration on a whiteboard and explain why one approach wins
You have a blog, a Substack, conference talks, or GitHub READMEs that engineers enjoyed
You treat writing as a product
You already spend time in the rooms where AI infra is being talked about - meetups, hackathons, the right Discords, AI community events
You feel pain when an API is clunky

Job Responsibility

Hunt and Land Design Partners: Identify the top companies who most need Kitaru's durable execution or ZenML's pipelines, get a real conversation with the right person, and turn it into a working POC
This is outbound, targeted, founder-style hustle - not inbound qualification
Co-Build with Customers: Once design partners are on board, you're their internal champion
You architect the integration with them on the whiteboard, ship the first demo yourself, write the case study afterward, and make sure their Slack questions are answered same-day
Ship the Integrations That Get Us In the Door: Build integration code for the frameworks our users live in - PydanticAI, OpenAI Agents SDK, Claude Agents SDK, LangGraph, LlamaIndex, CrewAI, memory layers like cognee, vector stores, graph stores
Each integration is both a product and a marketing asset
You write the code, the example app, and the launch post
Shape Where Kitaru Goes Next: Sit in product strategy conversations as a peer, not a stakeholder
The product vision for Kitaru is being written right now - your customer conversations and integration directly inform what we build
You'll write spec docs, argue with the founders, and own pieces of the roadmap

What we offer

An inspiring, international team
Genuine connection & lots of fun
Annual company offsite
Office in the heart of Munich
Flexible hours & trust-based work
Remote-friendly culture
Competitive compensation

Fulltime

Gtm Ai Builder

Revenue Operations at Mews runs the systems and processes behind a $300M+ ARR co...

Location

United States

Salary:

120000.00 - 180000.00 USD / Year

Mews

Expiration Date

Until further notice

Requirements

Seven or more years delivering production software with measurable business outcomes in a product-driven company
experience in a high-growth SaaS environment, startup, or scale-up strongly preferred
Demonstrated ability to operate at senior IC level without dedicated product managers or designers — independently defines scope, navigates ambiguity, makes architecture trade-offs, and owns delivery and outcomes end-to-end
Hands-on experience building against CRM and GTM platform APIs (Salesforce, HubSpot, or equivalent), including workflow automation, event-driven logic, and complex data integrations across multiple systems
Fluency with LLM APIs and production AI workflows: demonstrated experience shipping agents, enrichment pipelines, summarisation systems, or AI-assisted automation in a real operational context, not prototypes
Track record of leading complex, cross-functional automation initiatives with direct commercial impact
prior experience in or closely alongside a RevOps, Sales Ops, or GTM Analytics function is a meaningful advantage
Active practitioner of modern AI development tools including Claude, Lovable, Cursor, or equivalent
familiarity with agent frameworks, MCP integrations, and workflow automation tooling
Ability to think at systems level: understands how GTM processes connect across marketing, sales, deal desk, and post-sale, and designs tooling that serves the full motion rather than isolated workflows

Job Responsibility

Own end-to-end delivery of AI and automation initiatives across marketing automation, quote-to-cash, sales lifecycle, and support operations, from problem definition and scoping through production release and iteration, with no hand-holding from product management or design
Design and build the GTM Engineering Platform: AI-powered modules including Pipeline Command Center, Deal Passport, Territory Intelligence, Quote Builder, Manager Lens, Digest Center, and Conversion Intelligence replacing manual workflows across BDR, AE, and RevOps functions
Architect and ship AI-powered pipelines that replace manual GTM processes, including lead scoring and routing, deal enrichment, account radar (new hotel discovery), onboarding orchestration, forecasting signals, and Gong-driven coaching intelligence
Engage directly with RevOps leadership and GTM stakeholders to identify build priorities, translate operational pain into technical scope, and maintain alignment on delivery cadence and outcome metrics
Build rapidly and iterate based on real feedback: prototype in days, ship to production in weeks, establish a pattern of continuous improvement rather than polished one-time releases
Make pragmatic use of AI development tools, LLM APIs (Claude, OpenAI), and cloud-native integrations — solving problems at scale without reinventing infrastructure that already exists
Establish reusable patterns, services, and frameworks that accelerate self-serve capability across the GTM and RevOps teams, reducing future build time on adjacent problems
Set technical direction for GTM tooling, make and document architecture decisions, and champion AI-native development practices through code review, pairing, and direct coaching of engineers and operations staff
Define and communicate technical decisions in clear, non-technical terms to leadership and cross-functional stakeholders, maintaining alignment and influencing investment priorities

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday (yes, really)
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly "EDGE" time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

Business Intelligence Engineer (GTM), In-Store Data & Analytics

We're hiring a BI GTM Engineer to help build the AI-powered workflows and propri...

Location

United States , New York

Salary:

98600.00 - 145000.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

2+ years of experience building production software, data, or AI systems - ideally inside a GTM, RevOps, or analytics engineering function at a B2B SaaS company
Hands-on experience deploying LLM-powered applications in production, including prompt engineering, evaluation, and the integration patterns required to ground models in business data
Familiarity with modern data stack tooling - particularly DBT and Fivetran - and an understanding of how clean, well-modeled data enables reliable AI outputs
Strong proficiency in Python and SQL, with working knowledge of REST APIs and Salesforce APIs (SFDC), comfort with GCP (BigQuery, Cloud Functions, Compute Engine, Secret Manager), and experience with infrastructure-as-code tooling such as Terraform
Demonstrated ability to scope an ambiguous business problem, ship a working v1 quickly, and iterate based on user feedback - not just deliver requirements as written
Comfortable operating in environments where you're the builder but not always the one defining what to build - able to extract requirements from non-technical SMEs across Sales, CS, RevOps, and Finance, scope work collaboratively, and drive projects to completion
Strong written and verbal communication skills, including the ability to partner directly with non-technical GTM stakeholders and translate business problems into technical scopes
Ambitious and biased toward action - you thrive in fast-moving environments, prefer shipping over speccing, and are energized by seeing your work in the hands of real users

Job Responsibility

Build and ship production AI agents and automations on Google Cloud Platform (BigQuery, Cloud Functions, Compute Engine, Secret Manager, Terraform, VertexAI) that directly touch the daily workflow of every AE, AM, and CSM at SevenRooms
Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI
Partner with frontline reps and CSMs as design partners — co-designing solutions, iterating in production, and driving real adoption rather than dashboards nobody opens
Collaborate cross-functionally with Revenue Operation), Strategy & Operations, Product, Enablement, Customer Success, Sales, and FP&A to surface the right problems and build solutions that stick
Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI
Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off
paid sick leave in compliance with applicable laws
medical, dental, and vision benefits
11 paid holidays
disability and basic life insurance
family-forming assistance

AI GTM Global Team Lead

monday.com is building the AI work platform that not only helps manage and orche...

Location

Israel , Tel-Aviv

Salary:

Not provided

monday.com

Expiration Date

Until further notice

Requirements

Proven experience in a managerial role — you've led a team or owned a cross-functional program end to end with direct accountability for outcomes, people, and delivery
Proven sales proficiency — you've carried a number, run deals, or worked shoulder-to-shoulder with sellers, and you understand what actually moves an opportunity forward
Hands-on experience designing sales playbooks and GTM strategies — not just contributing to them, but building, launching, and iterating based on field feedback and data
A track record of execution — you ship. You're known for turning strategy into rollouts, rollouts into adoption, and adoption into pipeline
Comfort building from zero — you don't need a playbook handed to you
you write it. You're energized by white space and ambiguity
Deep product understanding — you can go technical with Product, strategic with Sales leadership, and clear with customers. You learn products fast and explain them simply
Self-starter mindset — you teach yourself what you don't know, whether that's a new AI model architecture, a competitor's release notes, or a new customer segment
Team player — you partner generously across functions, share credit, and make the people around you better. You know GTM is a team sport
Strong customer instincts — you're comfortable in the room with executive buyers and can translate their feedback into product and positioning gold

Job Responsibility

Be the global AI focal point for Sales, CS, and Marketing — providing guidance, context, and clarity on AI positioning, capabilities, and competitive differentiation
Build the AI GTM motion from scratch — design and roll out sales playbooks, talk tracks, objection-handling frameworks, discovery questions, and customer-facing collateral that drive measurable pipeline and revenue impact
Partner with client-facing teams to ensure every AE, CSM, and marketer can communicate our AI value confidently and tailor it to specific customer segments, personas, and use cases
Join key customer conversations — present AI capabilities to prospects and strategic accounts, gather frontline insights, and channel those learnings back into product roadmap and GTM planning
Lead ongoing AI enablement — run roundtables, deep-dive sessions, certification programs, and recurring touchpoints that keep the field aligned, sharp, and energized
Build strong cross-functional relationships with Product, Enablement, and Marketing to ensure consistent AI messaging from first-touch marketing through closed-won and expansion
Track AI trends, competitor moves, and market dynamics — keep our positioning forward-thinking and our teams ahead of the curve
Own the AI narrative end to end — bring creativity to internal activations, field events, and how we tell our AI story externally
Collaborating with other teams, such as the business/product analytics team and BI engineering to align goals and ensure smooth integration and adoption of the BI solutions

What we offer

Join a customer-centric team where transparency and ownership aren't just buzzwords, they are how we build
Work on a multi-product suite powered by advanced AI models, where your work reaches a large customer base
Opportunity to join an innovative company with big ambitions, competitive salary and benefits, bonus potential, and some roles are eligible to take part in the company equity incentive program
Grow your career through a dedicated Learning and Development team, AI workshops, bootcamps, and internal hackathons designed to help you master the latest
Collaborative and vibrant work environment, supported by global Employee Resource Groups and workplace teams that foster belonging across global offices in New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more

Fulltime

Gtm Ai Builder

Revenue Operations at Mews runs the systems and processes behind a $300M+ ARR co...

Location

United States

Salary:

110000.00 - 200000.00 USD / Year

Mews

Expiration Date

Until further notice

Requirements

Seven or more years delivering production software with measurable business outcomes in a product-driven company
experience in a high-growth SaaS environment, startup, or scale-up strongly preferred
Demonstrated ability to operate at senior IC level without dedicated product managers or designers — independently defines scope, navigates ambiguity, makes architecture trade-offs, and owns delivery and outcomes end-to-end
Hands-on experience building against CRM and GTM platform APIs (Salesforce, HubSpot, or equivalent), including workflow automation, event-driven logic, and complex data integrations across multiple systems
Fluency with LLM APIs and production AI workflows: demonstrated experience shipping agents, enrichment pipelines, summarisation systems, or AI-assisted automation in a real operational context, not prototypes
Track record of leading complex, cross-functional automation initiatives with direct commercial impact
prior experience in or closely alongside a RevOps, Sales Ops, or GTM Analytics function is a meaningful advantage
Active practitioner of modern AI development tools including Claude, Lovable, Cursor, or equivalent
familiarity with agent frameworks, MCP integrations, and workflow automation tooling
Ability to think at systems level: understands how GTM processes connect across marketing, sales, deal desk, and post-sale, and designs tooling that serves the full motion rather than isolated workflows

Job Responsibility

Own end-to-end delivery of AI and automation initiatives across marketing automation, quote-to-cash, sales lifecycle, and support operations, from problem definition and scoping through production release and iteration, with no hand-holding from product management or design
Design and build the GTM Engineering Platform: AI-powered modules including Pipeline Command Center, Deal Passport, Territory Intelligence, Quote Builder, Manager Lens, Digest Center, and Conversion Intelligence replacing manual workflows across BDR, AE, and RevOps functions
Architect and ship AI-powered pipelines that replace manual GTM processes, including lead scoring and routing, deal enrichment, account radar (new hotel discovery), onboarding orchestration, forecasting signals, and Gong-driven coaching intelligence
Engage directly with RevOps leadership and GTM stakeholders to identify build priorities, translate operational pain into technical scope, and maintain alignment on delivery cadence and outcome metrics
Build rapidly and iterate based on real feedback: prototype in days, ship to production in weeks, establish a pattern of continuous improvement rather than polished one-time releases
Make pragmatic use of AI development tools, LLM APIs (Claude, OpenAI), and cloud-native integrations — solving problems at scale without reinventing infrastructure that already exists
Establish reusable patterns, services, and frameworks that accelerate self-serve capability across the GTM and RevOps teams, reducing future build time on adjacent problems
Set technical direction for GTM tooling, make and document architecture decisions, and champion AI-native development practices through code review, pairing, and direct coaching of engineers and operations staff
Define and communicate technical decisions in clear, non-technical terms to leadership and cross-functional stakeholders, maintaining alignment and influencing investment priorities

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly EDGE time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

Gtm Engineer

We're hiring a GTM Engineer to architect and build the systems that power our co...

Location

United Kingdom , London

Salary:

Not provided

Xelix

Expiration Date

Until further notice

Requirements

Hands-on AI/LLM experience. You've built or deployed AI agents, used LLM APIs in production workflows, or integrated AI tooling into commercial processes
Data enrichment expertise. You've worked with enrichment platforms, understand match logic and deduplication, and have opinions about what good data quality looks like. You've cleaned up other people's messes before
A builder's mindset. When you see manual work, you immediately think about how to automate it
Good commercial instincts. You understand B2B SaaS sales motions, how SDRs and AEs actually work, and what makes commercial teams effective
Senior IC operating style. You can scope work, prioritise, push back when needed, and ship without close oversight. You're comfortable being the technical SME on a small team
Technical Depth (at least one of these): A track record of building commercial systems at scale. You've architected workflows in HubSpot (ideally), or Salesforce that go beyond standard configuration: custom objects, complex routing, lifecycle automation, integrations with multiple tools
Or, fluency with low-code automation platforms. You've built things in tools like Clay, n8n, Make, Zapier, or similar
Or, significant data wrangling skills. The ability to write SQL or Python is a plus. You can build complex models in spreadsheets at to a high level of proficiency

Job Responsibility

Build commercial infrastructure that scales. Design and implement workflows in HubSpot and across our wider stack that handle routing, scoring, enrichment, lifecycle management, and handoffs without manual intervention. Replace bespoke one-off work with templated, repeatable systems. Level up the solution architecture capabilities across the team
Own the enrichment and data quality layer. Take ownership of our enrichment stack (currently ZoomInfo, LinkedIn Sales Navigator, and with planned additions potentially including other tools such as Clay or CommonRoom). Build pipelines that produce clean, accurate, fit-scored data. Set the standard for what good data looks like at Xelix
Automate reporting. Templatise it and build dashboards and models that require minimal manual updating
Build AI-augmented workflows. Prototype and deploy AI agents and LLM-powered tooling for tasks like lead qualification, account research, RFP response, call analysis, and content generation
Level up our technical capabilities. Work with other members of the team to level up their technical sophistication and help them design and deploy effective processes.

What we offer

Competitive salary depending on experience
27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
Hybrid working with three days a week from our dog-friendly Hoxton office and on-site gym
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £1,000 personal annual budget
Carbon-neutral and working towards ambitious carbon reduction goals
Lots of team socials & activities
Annual team retreat

Fulltime

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GTM Engineer, AI

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