GTM Engineer, AI Job at Vanta

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

Context Layer & GTM Engineer

Bloomreach is seeking a Context Layer & Platform Engineer to architect and maint...

Location

Czechia , Bratislava; Brno; Prague

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

You've built or scaled data pipelines, ETL systems, or API backends that serve multiple downstream consumers - and understand the discipline of versioning, backward compatibility, and operational stability
You know Salesforce deeply - data model, custom objects, field governance, deduplication strategies, API limitations - and can architect data quality processes that scale
You're expert with N8N, Supabase/Postgres, and API integrations. You can design schemas, optimize queries, version APIs, and think about performance at scale. You've built systems that balance flexibility with simplicity
You understand LLM-adjacent tooling and can reason about prompt versioning, retrieval quality, latency trade-offs, and how to structure data so agents consume it predictably
You love operational rigor - monitoring, alerting, observability, runbooks. You believe that boring infrastructure is good infrastructure, and you want to measure and communicate it
You're comfortable with ambiguity and can break down a big architectural challenge ("serve 200 agents with consistent context") into testable, shippable milestones
You thrive in cross-functional environments and can translate between data engineers, product teams, AI researchers, and business stakeholders. You can speak both technical and business language
You're driven by the challenge of turning messy data into clean intelligence - and seeing that intelligence power products and decisions in real time
You're curious about how GTM works and motivated to understand not just the "what" but the "why" - so you build systems that are useful, not just technically sound
You have strong project ownership instincts - you see things through from design to maintenance, and you take pride in systems that run reliably at scale

Job Responsibility

Own Salesforce data integrity: Take responsibility for data quality, deduplication, and enrichment across Salesforce. Use AI enriching accounts and contacts with the right data, eliminating duplicates, standardizing fields, validating data freshness, and ensuring that all context flowing through the system is reliable. You are the keeper of the single source of truth
Engineer the context retrieval backbone: Design and ship versioned, documented API endpoints that GTM agents call to retrieve context - contacts, accounts, engagement history, intent signals, enrichment data - with consistent response contracts, fast latency, and intelligent filtering/boosting/time-decay logic. These endpoints become the foundation for scaling from 10 to 200 agents
Optimize retrieval performance: Continuously tune query logic, filters, boosts, and ranking algorithms so answers are contextually relevant, fast (sub-second latency), and cost-effective. Every agent query should return signal, not noise
Scale “GTM Brain” data sources without breaking agents: Add new sources - product usage, web signals, third-party enrichment, intent platforms - to the context layer without forcing agents to rebuild their logic. Design the system so agents stay stable while context grows richer
Keep context fresh and resilient: Build and operate background jobs that refresh context on schedule, detect and fix failed re-embeddings, backfill deltas, and maintain data pipelines that feed agents with up-to-date intelligence without disruption or drift
Enable agent developers and operators: Create starter queries and templated context patterns that new agents can adopt quickly. Coordinate with the enablement and AI Ops teams to make context accessible to non-engineers
Collaborate on vendor strategy: Help evaluate, integrate, and own relationships with key vendors like N8N, Clay, Rattle - ensuring their data flows cleanly into your context architecture and meets our latency and freshness requirements
Participate in building the GTM data stack of the future: Work with RevOps, and AI Ops to understand how Salesforce, enrichment platforms, N8N, Supabase/Postgres, LLM tools, and analytics integrate - co-creating a scalable, maintainable system that can grow to support 200+ agents without technical debt

What we offer

A great deal of freedom and trust
We believe in flexible working hours
We work virtual-first with several Bloomreach Hubs available across three continents
We organize company events
We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer
People Development Program -- personal development workshops
communication coach available
Leader Development Program
$1,500 professional education budget on an annual basis
Employee Assistance Program -- with counselors

Fulltime

Applied Machine Learning Engineer

As an Applied Machine Learning Engineer, you will serve as a vital bridge betwee...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

170000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
Robust coding skills required, preferably with proficiency in Python
Demonstrated ability to lead and execute complex technical projects with a focus on customer success
Strong interpersonal and communication skills
ability to thrive in dynamic, cross-functional teams

Job Responsibility

Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration

What we offer

meaningful equity in a fast-growing startup
competitive salary
comprehensive benefits package

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

Vice President of Engineering

CaptivateIQ is transforming the way companies plan, manage, and optimize sales p...

Location

United States , Menlo Park

Salary:

325000.00 - 400000.00 USD / Year

CaptivateIQ

Expiration Date

Until further notice

Requirements

10+ years of engineering leadership in high-growth SaaS environments
Proven success scaling product and platform engineering orgs (100+ engineers)
Experience leading both 0→1 and scaling phases of product development
Strong track record managing directors and building diverse, empowered, distributed teams
Clear communicator and collaborator across product, GTM, and executive functions
High technical fluency—can challenge and support platform and AI discussions

Job Responsibility

Translate company strategy into scalable engineering plans and team structures
Balance short-term delivery with long-term platform and infrastructure investments
Drive technical decision-making that supports AI and data initiatives
Scale a high-performing org across product, platform, and AI domains
Manage and mentor engineering leaders and managers
build a deep bench
Shape and uphold a culture of ownership, autonomy, velocity, and inclusion
Collaborate with Product, Design, Finance, Customer Experience, Sales, and Marketing to align engineering with GTM and customer success
Serve as a credible partner to enterprise customers, both pre- and post-sale
Contribute to executive strategy, budgeting, planning, and headcount forecasting

What we offer

(US-ONLY) 100% of medical, dental, and vision covered including 75% for dependents
Flexible vacation days and quarterly mental health days so you can recharge
(US-ONLY) 401k plan to participate in and save towards the future
Newest Apple products to help you do your best work
Employee Resource Groups (ERGs) to support and celebrate the shared identities and life experiences of communities within CaptivateIQ. ERGs directly support our company-wide DEI goals as a space for developing and retaining diverse talent

Fulltime

Enterprise Gtm

We are growing our commercial team and looking for growth minded individuals who...

Location

United States , New York; San Francisco; Seattle

Salary:

250000.00 - 300000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

5+ years of overall experience in a growth, GTM, or customer-facing role with experience in a high-growth technology company preferred
Natural curiosity for the Runway product and eagerness to use and test the product personally
Passion for educating prospects about AI's transformative potential across industries
Ability to build trust and engage authentically with diverse stakeholders—from technical experts to creative professionals to business executives
Exceptional communication skills and ability to articulate complex ideas clearly and persuasively
Ability to thrive in a constantly changing and growing environment

Job Responsibility

Identify new prospective customers and own the commercial process from initial engagement to contract signing
Develop innovative applications for our software and experiment within customer conversations
Craft compelling stories that articulate the value and potential of our technology to businesses
Foster relationships with key decision-makers and innovators, including executives and senior leadership teams to partner on deploying and growing usage of Runway throughout their organization
Prototype with customers in real time
Grow and expand existing customer accounts using data
Work closely with our Research, Engineering, Product, and Marketing teams to share market insights and identify potential growth opportunities

Fulltime

Sales Engineer

As a Sales Engineer, you will serve as the technical backbone of the sales proce...

Location

United States , Austin

Salary:

120000.00 - 180000.00 USD / Year

Cosmic Partners

Expiration Date

Until further notice

Requirements

At least 2 years of experience in a technical pre-sales, solution engineering, or customer-facing technical role
Experience with complex data-driven solutions in manufacturing, supply chain, or enterprise SaaS environments
Excellent technical aptitude—you’re able to translate complex data models and algorithms into business value
Ability and willingness to travel internationally to meet customers on-site and observe their steel production operations
Comfortable presenting to both technical and executive stakeholders, including melt-shop and procurement managers
Strong communication skills, written and verbal
Based within commutable distance to Austin
Enthusiasm for startup environments—adaptable, proactive, and hands-on

Job Responsibility

Partner closely with Sales to run a consultative sales process—from discovery to technical validation and proof-of-value phases
Responding to RFIs and RFPs
Deliver tailored product demonstrations, showing customers how our solution optimises raw material mixes and delivers cost savings
Dive deep into customers’ existing steel production workflows and procurement strategies to map their needs to platform capabilities
Lead technical workshops and on-site assessments at steel plants to evaluate compatibility and assess impact
Own pre-sales documentation and collaborate with product and engineering teams to support custom solutioning
Work across CRM and sales enablement tools to track pre-sales engagement and contribute to forecasting and pipeline management
Contribute insights back to product and leadership teams to guide roadmap prioritisation and technical GTM strategy

What we offer

Stock options
Progression

Fulltime

GTM Engineer, AI

Vanta

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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