GTM Systems & AI Engineer Job at Confluent

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

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

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

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

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

The simple task of buying software, services, or tools at work has become hopele...

Location

United States , San Francisco; New York City

Salary:

130000.00 - 170000.00 USD / Year

Zip

Expiration Date

Until further notice

Requirements

4+ years of experience in GTM systems, RevOps engineering, or product management, ideally in a B2B SaaS environment
Working experience with Salesforce, specifically the Contact, Account, Opportunity, and Campaign objects
Strong knowledge of SQL, data modeling, and at least one programming language (Python, Javascript, Apex, etc.)
Proven ability to learn new systems quickly and apply emerging technologies to solve traditional business challenges
Experience working with LLM applications and prompting at scale
Experience managing complex integrations and workflow automation using tools such as Workato, Zapier, Clay, n8n, custom scripts, and CDP/reverse ETL tools (e.g., Hightouch, Census)
Strategic mindset with the ability to connect business needs to system design and execution
Excellent written and verbal communication. You can structure your thinking clearly, write concise memos, and present to executives with confidence
High bias for action, low ego, and a relentless ownership mindset. You thrive in uncharted territory and move fast to create clarity

Job Responsibility

Build the GTM automation engine. Design scalable, high-velocity workflows that improve rep efficiency, reduce friction, and accelerate pipeline generation. Use tools like Clay and n8n to build event-based workflows that enrich data, route accounts, and trigger personalized outreach actions at scale
Operationalize AI and enrichment. Partner with the GTM Ops and Business Systems teams to evaluate and implement AI and enrichment tools to boost outbound quality and personalization, leveraging data from Salesforce, Gong, ZoomInfo, 6sense, Clay, and other systems
Be the product owner for the GTM stack. Manage requirements, prioritization, and system rollouts for GTM tools. Translate business needs into technical specifications and drive delivery
Measure and optimize. Define and track metrics for sales productivity, funnel velocity, and automation ROI. Build dashboards and data models that make performance visible and actionable
Partner across GTM Ops. Collaborate with GTM Operations and Business Systems to ensure data consistency, routing logic, and attribution accuracy
Innovate and experiment. Pilot new tools, integrations, and AI workflows. You’ll test what’s next in RevOps technology and scale the ones that work

What we offer

Start-up equity
Full health, vision & dental coverage
Catered lunches & dinners for SF or NY employees
Commuter benefit
Team building events & happy hours
Flexible PTO
Apple equipment plus home office budget
401k plan

Fulltime

Director of Engineering

Kiddom is seeking a hands-on Director of Engineering to lead key parts of our en...

Location

United States , San Francisco

Salary:

Not provided

Kiddom

Expiration Date

Until further notice

Requirements

10+ years in software engineering
5+ years leading and scaling teams in a SaaS environment
Has managed multiple teams working on a range of products
Strong background in building and operating distributed systems and cloud-native platforms
Experience delivering products that leverage AI/ML (for example, recommendations, automation, analytics) or working closely with data science/ML teams
Familiarity with modern data pipelines, security best practices, and observability
Comfortable diving into technical discussions and guiding teams on trade-offs, even if you are not writing code daily
Be able to be ‘in the weeds’ with the engineers driving technical decisions

Job Responsibility

Own delivery for a portfolio of product and platform areas, ensuring your teams ship high-quality software on time
Help define and drive adoption of engineering best practices
Contribute to technical decision-making on architecture, frameworks, and key platform investments
Lead, coach, and grow engineering managers and senior engineers across backend, frontend, DevOps, data, and AI-adjacent teams
Implement and refine processes for planning, estimation, documentation, and cross-team collaboration
Partner with the engineering leadership on career ladders, performance management, and succession planning within engineering
Work with Product, Data, and Curriculum teams to deliver AI-powered features that improve personalization, grading, insights, and curriculum recommendations
Help teams integrate AI capabilities into existing workflows in ways that are intuitive, reliable, and impactful for educators and students
Partner with platform and SRE teams to improve CI/CD pipelines, observability, and cloud cost efficiency
Work with data engineering to design and maintain scalable, well-modeled data pipelines that power AI and analytics features

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
Commuter and FSA plans

Fulltime

GTM Systems & AI Engineer

Confluent

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

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