GTM Engineer

At Aexus, we help innovative tech companies break into new markets. To make our ...

Location

Salary:

Not provided

Aexus

Expiration Date

Until further notice

Requirements

Have hands-on experience with CRM and sales automation tools
Can translate messy processes into clear, automated workflows
Are curious about AI and enjoy pushing tools like Clay & n8n to the limit
Combine technical skills with commercial awareness
Write compelling, concise sales copy
Communicate clearly and enjoy working with internal and external sales teams
Are entrepreneurial and pragmatic: you build, test, improve

Job Responsibility

Build and manage sales tooling (Lemlist, Clay, Apollo, LinkedIn Sales Navigator, Pipedrive, etc.) and continuously identify potential improvements for our tech stack
Set up integrations (HubSpot, Pipedrive, n8n/Make, APIs) to keep data flowing cleanly
Configure technical infrastructure to maximize deliverability of prospecting campaigns
Ensure data quality and enrichment across systems
Design best in class automated inbound and outbound process flows
Launch highly personalized campaigns at scale using intent signals and AI variables
Run A/B tests and other experiments to boost campaign conversion
Create dashboards (pipeline, conversion, velocity, funnel insights) and flag bottlenecks
Train SDRs & BDMs on best practices and provide hands-on support
Experiment with AI and new GTM technologies to keep us ahead

What we offer

Work remote-friendly, with flexible setup
Shape the sales engine of a 100+ person business development agency and its partners
Own projects end-to-end with visible impact on revenue
Partner with cutting-edge tech companies entering Europe or US
Join ambitious, collaborative, growth-minded colleagues
Great, inspiring team events and of course a little party every now & then

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

Senior Director of Product Management, AI and Automation

PagerDuty is seeking a Senior Director of Product Management, AI and Automation,...

Location

United States

Salary:

200000.00 - 337000.00 USD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

Minimum 12 years in product management, with significant experience in SaaS, AI, and/or automation
Understanding of workflow platforms (triggers, variables, conditions, and actions) and no code, low code, and procode authoring modalities
Experience with and deep interest in building experiences powered by generative and agentic AI
Strong technical acumen and experience leading and developing high-performing product management teams
Proven track record of taking products from concept to market success in a startup or agile innovation environment with a rapid experimentation mindset
Self-motivated user of AI tools for personal productivity and the craft of product with a bias towards scaling team output with technology rather than adding headcount

Job Responsibility

Develop a compelling product strategy and roadmap for PagerDuty’s AI assistant, AI agent platform, and (workflow and runbook) automation offerings
Allocate resources strategically between innovation and sustaining existing products to optimize business outcomes
Develop and evangelize our internal AI agent platform to empower product and professional services teams to build agents on our data and integrate them into our interfaces and workflows
Empower PagerDuty product and professional services teams to build, deploy, and continuously improve generative AI features and agents by evolving our data and agent platforms
Expand our AI ecosystem through partnerships and integrations across communications platforms, cloud storage, and infrastructure, embracing emerging standards like MCP and A2A
Set and achieve product engagement targets as a leading indicator of success in our transition to usage-based packaging and pricing models
Drive product decisions with a strong focus on customer value measured through product engagement and feedback, and financial impact measured by win rates, retention, and ARR
Foster a high-performing, product management team with diversity of experience and perspectives through coaching, empowerment, and accountability
Collaborate closely with Product, Engineering, Design, Product-led Growth, Enterprise GTM, Pricing, and Finance to maximize your products’ market and business impact
Build trusted relationships with customers, partners, media and industry analysts such as Gartner, Forrester, IDC, representing PagerDuty as a thought leader

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)

Fulltime

Sales Engineering Lead

EvoluteIQ is seeking a Sales Engineering Lead to drive pre-sales and sales engin...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

8–10 years of experience in pre-sales, solution engineering, or consulting for enterprise software, automation, or AI-driven platforms
Hands-on knowledge of process automation, AI/ML, data integration, API orchestration, or low-code/no-code environments
Experience collaborating with global channel partners, system integrators, or technology alliances
Familiarity with one or more BPM (Appian, Pega, Camunda), LCAP (Outsystems, Mendix) and automation stacks (e.g., ServiceNow, UiPath, Power Automate, Blue Prism, MuleSoft) and cloud platforms (AWS, Azure, or GCP), as well as Agentic AI and Generative AI technologies
Proven ability to connect technical capabilities with business outcomes and present to C-suite stakeholders
Strong communication, executive presentation, and solution storytelling abilities
Strategic thinker with the ability to influence joint go-to-market initiatives and co-create customer success outcomes
Bachelors or Masters degree in computer science, Engineering, or a related field
MBA preferred but not mandatory

Job Responsibility

Lead all technical pre-sales engagements for new opportunities, from discovery, requirement scoping, and solution design to technical validation, proposal creation and proof-of-concept delivery
Collaborate with business, sales, and technical teams to understand customer objectives and expand solution footprints
Translate business objectives and challenges into robust technical architectures and solution proposals that clearly articulate value, ROI, and platform differentiation
Design and deliver customized product demonstrations, solution architectures, and joint proof-of-concepts highlighting the EIQ platform’s unified automation capabilities
Coordinate for partner enablement workshops and provide ongoing knowledge transfer to enhance Eguardian’s sales and delivery maturity
Serve as a solution advisor by identifying and shaping new Agentic Automation use cases leveraging AI, ML, RPA, and orchestration
Act as a technical liaison between EvoluteIQ’s product, engineering, and partner management teams to ensure solution scalability and roadmap alignment
Design and present compelling solution demos, proofs of concept (POCs), and architecture blueprints tailored to client industries (banking, healthcare, insurance, telecom)
Build reusable demo assets, templates, and solution accelerators to support repeatable GTM success
Partner with Delivery teams to ensure a seamless handover from pre-sales to implementation

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Lead Go To Market Systems Engineer

Apollo is seeking a hands-on Manager, GTM Business Systems to architect the next...

Location

United States; Canada

Salary:

135000.00 - 162000.00 USD / Year

Apollo GraphQL

Expiration Date

Until further notice

Requirements

Experience with integrating GTM systems via their APIs
Not afraid to dig into the systems - spending time configuring them and learning best practices
Can leverage SQL queries to build reports/dashboards, and can build in our GTM analytics tools
Cross functional experience working with stakeholders to understand business requirements and translate them into solutions
Able to manage multiple projects at one time, keeping stakeholders informed on progress on a regular basis
Experienced in how new and AI-native GTM technologies can improve a GTM tech stack
Hands-on Salesforce CRM experience, with a wide understanding of GTM systems and integrations
Familiar with GTM tools like Marketo, and JIRA, and how they support Sales, Marketing, and Customer Success workflows
Strong understanding of APIs and hands-on experience integrating GTM tools (e.g., Salesforce, Marketo) via API connections
Ability to design and build systems that support Product-Led Growth (PLG) motions, including usage tracking, automated nurture flows, and PQL surfacing

Job Responsibility

Ensure a productive GTM organization across Marketing, Sales, and Customer Success, powered by accurate data and actionable insights from well-integrated tools
Partner with GTM and Product leadership to shape the business systems roadmap, aligning it to revenue goals and driving operational efficiency
Own, configure, and maintain Salesforce and related GTM applications (Outreach, Common Room, Gong, Jira, marketing automation, and more)
Optimize data flow and reporting across core systems including Salesforce, Marketo, Vitally, JIRA, and more to ensure timely, accurate signals that drive faster deal cycles
Develop and maintain dashboards that provide clear visibility into GTM performance and support informed decision-making across teams
which may require SQL
Design and implement GTM workflows and automations that reduce manual effort, streamline handoffs, and accelerate execution across the funnel
Own system-related projects end-to-end - from requirements gathering through launch and ongoing support - partnering closely with GTM leadership on both strategic initiatives and ad-hoc needs

What we offer

Equity
Choice of 3 Anthem Blue Cross medical plans
California residents can also choose from an additional 2 Kaiser medical plans
Dental and Vision benefits are provided by Sun Life Financial

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 Engineer

Coralogix is a modern, full-stack observability platform transforming how busine...

Location

India , Gurugram

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical field
Strong backend development experience (Python, Node.js, or similar)
Experience building RESTful APIs and microservices
Frontend development experience (React or similar frameworks)
Experience working with Salesforce APIs and platform integrations
Experience building internal business applications
Familiarity with cloud platforms (AWS, GCP, Azure)
Strong database and data modeling knowledge
Experience using Git and modern deployment workflows
Hands-on experience using AI coding assistants (e.g., Claude Code, GitHub Copilot, GPT-based tools)

Job Responsibility

Design and deploy AI-enabled automation workflows across Salesforce, CPQ, marketing automation, and billing systems
Build AI-assisted validation, enrichment, and scoring logic within revenue workflows
Rapidly prototype internal tools using AI-supported development workflows
Use AI coding assistants (e.g., Claude Code, GPT-based tools) to accelerate development and deployment of GTM systems
Develop backend services and APIs to extend CRM and GTM platforms
Build lightweight frontend applications for internal sales and revenue teams
Design and implement middleware integrations
Write scalable, maintainable production-grade code
Engineer automated workflows that eliminate manual quoting, forecasting, and reporting processes
Encode revenue business logic into scalable system rules

Fulltime

Manager, Business Technology Automation Engineering

You will own the vision, strategy, and execution of enterprise-wide automation a...

Location

United States , San Francisco; Chicago; New York City; Seattle

Salary:

170000.00 - 190000.00 USD / Year

Ironclad

Expiration Date

Until further notice

Requirements

10+ years in automation, integration, or data engineering, including 3+ years in leadership roles
Proven expertise with Workato, Glean, Okta, and enterprise apps such as NetSuite, Salesforce, BambooHR, Engineering and ticketing systems
Strong architectural/automation design skills preferred
Hands-on technical background in ETL/ELT, data modeling, SQL/T‑SQL, and scripting/developing (e.g., Python, Ruby, or similar)
Experience operationalizing automation workflows and AI agentic models for enterprise use cases
Demonstrated strengths in hiring, motivating, and retaining top technical talent
Excellent stakeholder engagement and executive influence
Ability to conduct feasibility studies, budgets, and project proposals for enterprise-scale initiatives
Track record introducing innovation in automation and AI while maintaining governance and reliability
Glean Hands-On administration and API proficiency

Job Responsibility

Define and execute the enterprise automation and AI strategy
Own architecture and technical oversight for resilient, observable automation frameworks and AI-enabled workflows
Lead enterprise integrations (e.g. GTM, EPD, G&A, Business Technology systems)
Operationalize AI use cases (knowledge retrieval, intelligent triage, automated approvals, autonomous and prompted user workflows) across applications, platforms and AI tools
Establish governance and standards for design, testing, monitoring/observability, and documentation
Engage and influence stakeholders/executives to shape priorities and drive adoption of AI-driven capabilities across functions
Hire, mentor, and retain top talent across automation engineering, analysis, and architecture

What we offer

100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
Market-leading leave policies, including gender-neutral parental leave and compassionate leave
Family forming support through Maven for you and your partner
Paid time off
Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
Mental health support through Modern Health, including therapy, coaching, and digital tools
Pre-tax commuter benefits (US Employees)
401(k) plan with Fidelity with employer match (US Employees)
Regular team events
The opportunity to help build the company you want to work at

Fulltime

GTM Engineer - Automation and AI

Coralogix

Location:
India , Gurugram

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for GTM Engineer - Automation and AI