Join us
Build what replaces the entire GTM stack.
Small team. AI-native. 350M+ events/month. No layers between you and the outcome.
Who we are
A small, sharp, AI-native team united by intellectual curiosity and a commitment to building great products. Fully remote company, global team across 7+ countries. We use Coda, Slack, and Meet. Every team member works with AI agents daily -- Claude Code, claude.ai, Lovable, Cursor. For 7+ years we've run a no-nonsense, profitable business. You'll work with people who care about craft and push what AI can do.
- Values -- what we care about and how we make decisions
- Work principles -- how we get things done day to day
- 9 rare traits -- the qualities we look for in every hire
Open positions
⚙️ engineering
2 roles“We don't hire people to follow instructions. We hire people who can look at a system, find the weakest point, and fix it before anyone asks. If you want to build things that matter at real scale, this is the place.”
Senior Platform Engineer (Java & Python)
hiring nowIntempt processes 350M+ events/month across a unified Customer Data Platform, analytics, and ML stack. The core works. We need someone to make it bulletproof at scale.
You'll own the infrastructure that powers real-time personalization, journeys, and decisioning models. Java for the platform services, Python for the ML and data pipelines. This is platform engineering -- not application development.
- High-throughput event ingestion and stream processing (Kafka, Flink)
- Low-latency query paths across ClickHouse, Postgres, and Neo4j
- JVM performance -- GC tuning, heap profiling, hot path optimization
- Infrastructure stability under real load -- not theoretical load
- Python data pipelines -- ML serving, embedding jobs, batch processing
- System reliability, observability, and incident response
- 5+ years deep in Java and Python backend systems -- not just Spring CRUD, actual platform work
- Someone who has personally tuned a pipeline processing millions of events per hour
- Comfortable with distributed systems failure modes -- partitions, back-pressure, replication lag
- The person who finds the bottleneck before the pager does
- You need clean requirements to get started
- You think "it works at small scale" closes a ticket
Data Scientist (ML + LLM Systems)
hiring nowIntempt runs 9 AI agents that make real decisions for marketers every day -- segmenting audiences, scoring leads, predicting churn, optimizing journeys, generating content. Not demos. Production. Real customer data. Real consequences.
The brain behind Intempt's agents is a 3-stage LLM pipeline (Think, Plan, Execute) with 63+ tool-calling functions, streaming responses, and a plan-gate that asks users before side effects. Underneath that lives classical ML -- Flink streaming pipelines for RFM scoring, likelihood regression, and next-best-action models running on 350M+ events/month. Plus a 17-algorithm recommendation engine backed by Neo4j graph algorithms and CLIP/SentenceTransformer embeddings.
You'll work across all of it. One day you're optimizing the Opus-to-Haiku routing logic to cut cost per turn. The next you're tuning the Flink scoring pipeline that feeds signals into the agents. If you've only fine-tuned models on clean HuggingFace datasets or only done prompt engineering, this will stretch you. We need someone who thinks in both worlds.
- Agent LLM orchestration -- model routing across Opus/Sonnet/Haiku, tool-calling patterns, context management, cost-per-turn optimization, streaming pipeline tuning
- Classical ML models: RFM/FA scoring (Jenks natural breaks), likelihood regression, churn prediction, next-best-action -- all on Flink
- The recommendation engine -- 17 algorithms spanning cart-based, popularity, affinity, and similarity approaches, running on Neo4j
- Embedding pipelines -- CLIP (512-dim) for image/text similarity, SentenceTransformer for knowledge and snippet vectorization
- Eval frameworks for non-deterministic agent outputs -- you define what 'good' looks like when the answer changes every time
- A/B testing and causal inference to prove models move revenue, not just improve AUC
- Model cost tracking -- every inference has a dollar cost. You own the margin.
- 3+ years building production ML systems -- deployed models serving real users, not research papers
- Hands-on with LLM application development -- you've built tool-calling agents, RAG pipelines, or multi-model orchestration
- Strong in Python, comfortable reading Java -- platform services are JVM, ML layer is Python
- Experienced with streaming data and real-time feature engineering (Flink, Kafka, or similar)
- Familiar with graph-based ML and recommendation systems -- bonus if you've worked with Neo4j
- Someone who obsesses over cost-per-inference as much as accuracy -- running Opus on every turn isn't an option
- Able to explain a model's decision to a marketer who's never heard of a confusion matrix
- You've only done prompt engineering or only done classical ML -- we need both in one person
- You think shipping a Jupyter notebook to production is acceptable
- You can't reason about inference cost alongside model quality
🛠️ product
3 roles“Product at Intempt means you're in the room when decisions get made. You talk to customers, you shape what we build, and you see it ship. No layers between you and the outcome.”
QA Engineer (Manual & Automation)
You'll own quality across a platform with hundreds of features, billions of data points, and zero tolerance for regression. If something breaks in prod, your test suite should have caught it.
We use Playwright for end-to-end testing and believe in real tests against real infrastructure -- no mocks, no fake data. You'll design test strategies for complex workflows: multi-step campaigns, real-time event processing, AI agent interactions.
- Write and maintain end-to-end test suites with Playwright
- Design test plans for new features before they ship
- Build regression coverage that actually catches real bugs
- Report bugs with clear reproduction steps -- engineers should be able to fix without asking you questions
- Improve testability of the product by working with engineers on architecture
- 1+ year in QA with both manual testing and test automation
- Experienced with Playwright, Cypress, or similar browser automation tools
- Someone who enjoys breaking things more than building things
- Systematic -- you think in edge cases, race conditions, and data boundaries
- Comfortable with REST APIs, browser dev tools, and reading application code
- You only do manual testing and don't want to write code
- You think QA means clicking through the happy path before release
- You've never filed a bug report that an engineer could fix without follow-up
Product Owner (Agentic Chat UX)
hiring nowIntempt has 9 AI agents that marketers talk to every day -- they ask questions, launch campaigns, pull reports, and build audiences through conversation. You'll own the product experience of that entire agentic layer.
This is not generic product management. You need to understand how LLMs behave, what tool-use patterns feel natural to non-technical users, and where AI should act autonomously vs. ask for confirmation. You'll define the UX contract between human and agent -- what the agent says, when it acts, how it recovers from mistakes, and when it shuts up and lets the user work.
- Product direction for all agentic chat experiences across the platform
- Conversation design -- how agents present options, ask clarifying questions, and surface results
- Tool-use UX -- when agents call tools, how they show progress, and how users inspect what happened
- Error and recovery patterns -- what happens when the model is wrong, slow, or confused
- Spec writing and cross-functional coordination with engineering, design, and ML
- User research -- watch real users interact with agents and turn observations into product decisions
- 3+ years owning product in B2B SaaS -- you've shipped features end to end
- Someone who has worked on AI/LLM-powered products and understands the UX of non-deterministic systems
- Deeply opinionated about conversation UX -- you've thought about when chat is the right interface and when it isn't
- Technical enough to understand tool-calling, context windows, and prompt engineering tradeoffs
- A clear writer who can turn ambiguous AI behavior into concrete product specs
- You think chatbots are a solved problem
- You've never shipped a product where the AI's output was part of the core UX
- You need a design team to define every screen before you can write a spec
Design Engineer
Intempt's platform has 9 AI agents that help marketers run campaigns, analyze data, and automate workflows. Someone needs to make those interactions feel effortless. That's you.
This is not a traditional UI/UX role. You design AND build. You prototype in Figma, then ship it in code. You obsess over how an AI agent should present a recommendation, when to show confidence scores, and what happens when the model is wrong. If you've never thought about AI interaction patterns, this isn't your role.
- Design and build AI agent interfaces -- chat flows, tool outputs, recommendation cards, error states
- Prototype in Figma, implement in React and TypeScript
- Define interaction patterns for human-AI collaboration across the platform
- Maintain and extend the design system -- components, tokens, documentation
- Run lightweight usability tests and iterate based on real user behavior
- Work directly with engineers to ship -- no handoff culture here
- 2+ years designing and building product UI -- you have a portfolio AND a GitHub
- Equally comfortable in Figma and a code editor
- Someone who has designed for AI/ML products and understands the UX of uncertainty, latency, and progressive disclosure
- Strong with TypeScript, React, and CSS -- you can ship production components
- Opinionated about design systems and component architecture
- A clear thinker who can explain why a 4px change matters
- You only design or only code -- this role requires both
- You think AI interfaces are just chat bubbles
- You need a product manager to define every interaction before you start
📣 marketing
4 roles“We're building a brand from scratch with full creative freedom. No approval chains, no brand police. If you have a vision for how a B2B company should look and feel, you get to prove it here.”
Solutions Engineer
We don't have a customer success org. We don't have a sales org. We have solutions engineers who own the entire customer relationship -- from first demo to full deployment to expansion. You're the person who makes customers successful by being technical enough to solve their problems directly.
This is how AI-native companies work. Instead of a 5-person handoff chain (SDR, AE, CSM, SE, TAM), one sharp person handles the whole thing. You demo. You onboard. You troubleshoot. You expand accounts. Intempt's agents handle the busywork -- you handle the judgment calls.
- Full customer lifecycle -- demo, onboard, deploy, support, expand. No handoffs.
- Technical implementation -- help customers integrate the platform, configure agents, set up data flows
- Product demos that sell by solving the prospect's actual problem live, not slideshows
- Account health -- usage data, support patterns, expansion signals. You catch churn before it starts.
- Direct product feedback loop -- you talk to customers daily, you tell engineering what's broken or missing
- Documentation and playbooks -- build the knowledge base that scales you
- 2+ years as a solutions engineer, sales engineer, or technical CSM at a B2B SaaS company
- Technical enough to read API docs, troubleshoot integrations, and configure complex workflows
- Comfortable running a demo, closing a deal, and onboarding the same customer -- no role boundaries
- A clear communicator who can translate between technical teams and business stakeholders
- Self-directed -- you own your book of business and don't need a manager assigning tasks
- Excited about working with AI tools daily -- you'll use Intempt's agents to automate half your workflow
- You want a pure sales role with no technical work, or a pure technical role with no customer interaction
- You need a large team with defined swim lanes and escalation paths
- You can't context-switch between a product demo at 10am and a technical troubleshoot at 2pm
Creative Director (Video)
hiring nowWe are looking for a video-first Creative Director who makes people stop scrolling.
This is not a design role. This is not a branding role. This is a video role first. You shoot. You edit. You direct. You set the standard for every frame that leaves this team.
You will define how Intempt looks and feels on camera -- from product content to founder stories to social-first short-form. You are the reason everything else levels up.
- Full video and graphic production pipeline end to end: concept, shoot, edit, publish
- Scroll-stopping short-form content for Instagram, YouTube, LinkedIn, and TikTok
- Direct founders and team members on camera -- brief them, shoot them, make them look good
- Build Intempt's visual language across all moving content
- Develop a repeatable production system that outputs fast without losing quality
- Turn raw ideas from the GTM and content team into video within days, not weeks
- Set the creative bar and raise the output quality of everyone around you
- 3+ years of hardcore, hands-on video production -- shooting, directing, and editing. Both. Not one.
- A portfolio that stops the scroll. We will watch every second.
- Strong instinct for modern visual style -- you know what looks good and exactly why
- Deep experience with short-form native formats: Reels, Shorts, TikTok
- Speed. You can concept, shoot, and deliver in the same week
- Full creative ownership mindset -- you do not wait to be told what to make
- Motion graphics or After Effects skills
- Experience making non-actors -- founders, operators, team members -- look natural on camera
- You need a brand book and a creative brief before you can start
- You think "polished" matters more than "performs"
- You've only done post-production, never directed or shot
SaaS Growth Marketer
hiring nowWe're looking for a scrappy, results-driven Growth Marketer who can own the full organic funnel from awareness to conversion. This is a hands-on role for someone who has already shipped growth at a B2B SaaS company and is excited to build, test, and scale what works.
You'll work across content, SEO, video, influencer partnerships, affiliate programs, and agency collaborations. You should be comfortable working with ambiguity, moving quickly, and wearing multiple hats.
This is not an ads role and not a cold outbound role. We care about organic growth, partnerships, and creative execution that compounds.
- Own and grow Intempt's organic acquisition channels
- Build and execute content, SEO, video, influencer, affiliate, and partner-led growth initiatives
- Develop referral mechanics and community-driven growth loops
- Identify, test, and scale acquisition experiments across the funnel
- Manage influencer and agency collaborations end to end
- Work closely with founders and leadership to turn ideas into measurable growth
- Track key metrics and optimize based on conversion, activation, and pipeline impact
- 5+ years of experience in growth marketing, ideally in B2B SaaS or PLG SaaS
- Proven experience driving organic acquisition and pipeline growth
- Fluent across organic channels: content, SEO, video, influencer, affiliate, partnerships, and community
- A generalist -- you can write, create, optimize, and manage relationships
- Comfortable with data and experimentation
- Strong understanding of free-to-paid conversion and lifecycle growth
- Able to thrive in a fast-moving environment with a high ownership culture
- You think growth marketing means running paid ads
- You can't show organic pipeline you personally built
- You need a team of specialists to execute -- you're the specialist
Why Intempt
- You own real output, not someone else's brief. Your work ships and gets used.
- Direct access to leadership -- your ideas don't die in a backlog.
- Small team means your work gets seen, credited, and talked about.
- AI-native culture -- Claude Code, claude.ai, Lovable, Cursor are part of every workflow. You ship more because AI multiplies you.
- Competitive compensation. Ownership of real problems at web scale.
- No bureaucracy, no status meetings, no performance theater.
- 100% remote since day one. Flexible hours. Focused 8-hour days.
What it's like to work here
A calm, low-distraction environment where you can do your best work. Fewer meetings. Hardly any email. Far fewer interruptions than most companies.
Focused 8-hour days and 40-hour weeks. Small independent teams with real ownership. No micromanagement. You set your schedule and manage your time.
- Benefits & perks -- what we offer beyond salary
- How we work -- our day-to-day operating rhythm
- Operational principles -- how we run the business
Frequently asked questions
Referral bonus
Anyone can refer -- you don't need to work here. Send the candidate's name, the role, and your contact info to hey@intempt.com.
Social Media Content Creator
hiring nowWe need someone who makes B2B software look like the most interesting thing on the internet. Not corporate. Not cringe. The kind of short-form content that makes a founder stop scrolling, share it with their team, and google us 20 minutes later.
Think Kinso energy. Think viral-native storytelling for a technical product. You'll create Reels, Shorts, TikToks, and LinkedIn clips that explain what AI-powered GTM software does -- without sounding like a whitepaper. You'll turn product features into stories, customer wins into content, and AI demos into scroll-stoppers.
This is not a 'post three times a week and track impressions' role. This is a creator role. You make things people actually want to watch. If your content doesn't perform, you figure out why and make better content. Full ownership.