GTM Engineer - Automation and AI Job at Coralogix (Gurugram)

GTM Engineer, AI

At Vanta, our go-to-market (GTM) teams are the engine behind our growth. We’re l...

Location

United States

Salary:

168000.00 - 198000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

5+ years of experience in business systems, GTM engineering, data/analytics engineering, or a similar role in high-growth B2B SaaS
Strong knowledge of how AI and automation can be applied in business and GTM systems (e.g., workflow automation, summarization, routing, scoring)
Prior software engineering experience, proficiency with Salesforce (data model, Flows, integrations) and experience integrating other GTM systems (e.g., Gong, Heap and other marketing automation tools)
Strong SQL skills
Excellent communication and interpersonal skills to work effectively with internal stakeholders and cross-functional teams
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

Job Responsibility

Systematize and Automate the GTM Motion: Identify high-leverage opportunities for AI and automation across GTM workflows (e.g. prospecting, pipeline generation, account research, renewal prep)
Build AI-powered workflows & agents: Design, build, and maintain AI-driven workflows and agents using a mix of workflow tools (Salesforce flows and Workato) and code (e.g., Python, SQL)
Build and Ship Internal Tools: Design, develop, and maintain internal-facing web applications leveraging Claude Code and Netlify
Partner with GTM Leadership: Work with Sales and Post Sales leadership to understand their needs and build custom AI-based solutions that align with their strategic goals
Ship reliable, maintainable systems: Develop technical documentation, monitoring, and testing frameworks to ensure that GTM systems and AI workflows are reliable, observable, and easy to adopt
Experiment, evaluate, and iterate: Evaluate and implement new GTM and AI technologies, APIs, and tools (e.g., enrichment platforms, orchestration tools, AI vendors) with a clear “build vs. buy” perspective

What we offer

Offers Equity
Medical benefits
401(k) plan
Other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

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 Automation Specialist

Are you ready to build the future of revenue operations? We are looking for our ...

Location

Ireland; Finland , Dublin; Helsinki

Salary:

Not provided

Supermetrics

Expiration Date

Until further notice

Requirements

A track record of owning and designing automation or AI systems in a GTM environment: you have made architectural decisions, not just implemented them
Deep knowledge of B2B SaaS sales processes and the data that drives them, particularly pipeline management, deal qualification and outbound sequencing
Strong command of what lives in Salesforce and what signals matter for pipeline health
Hands-on experience evaluating and selecting AI or automation tooling, you have a genuine point of view on what to use and why
Practical experience with LLMs and agentic AI, you understand what agents can and cannot reliably do
Strong stakeholder management skills, sales teams move fast and you know how to earn credibility by shipping things that work
Comfort with ambiguity, this space is moving quickly and the right answers are not always obvious yet

Job Responsibility

Own the full AI agent programme for sales and pipeline processes
Design the business logic each GTM agent follows: what triggers it, what data it reads, what decision it makes
Continuously evaluate the AI and sales automation tool landscape and make recommendations on what to adopt, test or deprioritise
Define and maintain the quality standards and test cases that determine whether a GTM agent is ready for production
Act as the primary strategic partner to Sales, RevOps and SDR leadership, translating their operational needs into agent architecture decisions
Work with the automation engineers to ensure all GTM agents are correctly deployed on shared infrastructure
Designing and owning the business logic for each GTM agent across the full sales cycle
Leading the agent roadmap for GTM workstreams, identifying where new agents create the most value and sequencing builds accordingly
Running structured evaluations of new AI tools and frameworks and making the case for or against adoption
Owning the recurring review cycle to ensure agents stay accurate as the business changes

Fulltime

Product Manager, GTM Automation

We are building the automation backbone of Block. The systems you help create wi...

Location

United States , Bay Area

Salary:

239600.00 - 359400.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

7 to 10 years of product management experience, with a strong track record shipping AI or ML-driven products
Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
Experience running structured experiments such as A/B tests and offline model evaluations
A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
Clear, compelling communication skills for executive, technical, and operational audiences
Experience working in scaled, high-stakes, or regulated environments such as risk, compliance, or operations
Strong understanding of AI quality, safety, and responsible use
Hands-on experience with LLMs, multimodal models, or applied generative AI

Job Responsibility

Own the strategy and roadmap for AI-powered products that matter
Identify automation opportunities rooted in real user pain and measurable business outcomes
Turn ambiguous, high-stakes problems into clear product direction and requirements
Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
Design and run experiments to test ideas fast and learn even faster
Define product behavior across success paths, failures, and edge cases
Set and own metrics for accuracy, safety, latency, reliability, and user trust
Work with design to build human-AI interactions that are intuitive, transparent, and safe
Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
Lead cross-functional execution from concept to launch and continuous improvement

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

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

Gtm Automation Specialist

Are you ready to build the future of revenue operations? We are looking for our ...

Location

Ireland; Finland , Dublin; Helsinki

Salary:

Not provided

Supermetrics

Expiration Date

Until further notice

Requirements

A track record of owning and designing automation or AI systems in a GTM environment: you have made architectural decisions, not just implemented them
Deep knowledge of B2B SaaS sales processes and the data that drives them, particularly pipeline management, deal qualification and outbound sequencing
Strong command of what lives in Salesforce and what signals matter for pipeline health
Hands-on experience evaluating and selecting AI or automation tooling, you have a genuine point of view on what to use and why
Practical experience with LLMs and agentic AI, you understand what agents can and cannot reliably do
Strong stakeholder management skills, sales teams move fast and you know how to earn credibility by shipping things that work
Comfort with ambiguity, this space is moving quickly and the right answers are not always obvious yet

Job Responsibility

Own the full AI agent programme for sales and pipeline processes
Design the business logic each GTM agent follows: what triggers it, what data it reads, what decision it makes
Continuously evaluate the AI and sales automation tool landscape and make recommendations on what to adopt, test or deprioritise
Define and maintain the quality standards and test cases that determine whether a GTM agent is ready for production
Act as the primary strategic partner to Sales, RevOps and SDR leadership, translating their operational needs into agent architecture decisions
Work with the automation engineers to ensure all GTM agents are correctly deployed on shared infrastructure
Designing and owning the business logic for each GTM agent across the full sales cycle
Leading the agent roadmap for GTM workstreams, identifying where new agents create the most value and sequencing builds accordingly
Running structured evaluations of new AI tools and frameworks and making the case for or against adoption
Owning the recurring review cycle to ensure agents stay accurate as the business changes

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

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

Select Country

GTM Engineer - Automation and AI

Job Description

Job Responsibility

Requirements

Looking for more opportunities?