Jobs at Intempt

Intempt 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. 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
• System reliability, observability, and incident response

• 5+ years deep in Java 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

Intempt's platform runs 9 AI agents that make real decisions for marketers -- audience segmentation, journey optimization, churn prediction, lead scoring, content recommendations. These aren't demos. They run in production, on real customer data, at scale.

You'll build and improve the models behind those agents. This means working with messy behavioral data, designing features from event streams, shipping models that run in real-time, and measuring whether they actually move the needle. If you've only trained models on clean datasets in notebooks, this will be a different experience.

• ML models for segmentation, scoring, prediction, and recommendation across the platform
• Feature engineering from high-volume event streams (350M+ events/month)
• Model training, evaluation, and deployment pipelines
• A/B testing and causal inference to measure real business impact
• Data quality and pipeline reliability -- your models are only as good as the data feeding them
• Research into new approaches -- LLM integration, embeddings, graph-based features

• 3+ years building production ML systems -- not just research, deployed models serving real users
• Strong in Python, comfortable with Java -- you'll work across both ecosystems
• Experienced with real-time feature stores, streaming data, and event-driven architectures
• Someone who cares about business metrics, not just model metrics -- AUC means nothing if churn doesn't drop
• Comfortable with ambiguity -- you'll define the problem as often as you solve it

• You've only worked with clean, pre-processed datasets
• You can't explain your model's output to a non-technical stakeholder
• You think shipping a Jupyter notebook to production is acceptable

You'll write production code from day one on a platform that processes 350M+ events/month. No training wheels project. No internal tools nobody uses. Real backend services, real data, real users.

You'll pair with senior engineers who've built systems at scale. The learning curve is steep and the feedback loop is fast. If you want to get seriously good at backend engineering, this is the fastest path we know.

• Build and maintain backend services in Java and Python
• Write and improve tests -- we don't ship without them
• Fix bugs with real debugging, not println and prayer
• Learn the data stack hands-on: PostgreSQL, Kafka, ClickHouse
• Participate in code reviews -- give and receive honest feedback

• 1+ year writing Java or Python -- school projects count if they're substantial
• Someone who understands REST APIs and SQL, not just in theory
• Curious about how systems work under the hood -- you've read source code for fun
• Self-motivated -- you don't wait to be assigned work when something is broken
• A fast learner who wants to be a senior engineer, not a junior with more years

• You want a structured 6-month onboarding program with a dedicated mentor
• You're not comfortable reading code you didn't write
• You need step-by-step instructions for every task

The Intempt console is where customers spend their day -- building audiences, launching campaigns, reading analytics, configuring AI agents. You'll build the UI they live in.

This is component-driven development with React and TypeScript. You'll work from Figma designs, implement them with precision, and own the frontend performance. If you care about how things feel, not just how they look, you'll like it here.

• Build and maintain UI components in React and TypeScript
• Implement designs from Figma with precision -- spacing, transitions, responsive behavior
• Write unit and integration tests for frontend code
• Optimize bundle size, render performance, and perceived speed
• Contribute to and extend the component library and design system

• 1+ year building SPAs with React -- you've shipped something real
• Strong with TypeScript and modern CSS (Grid, Flexbox, custom properties)
• Someone who notices when padding is off by 4px and fixes it without being asked
• Comfortable with component architecture -- you've built or maintained a design system
• Able to debug browser rendering issues, not just JavaScript logic

• You've only built landing pages or marketing sites
• You think CSS is someone else's problem
• You can't work without a component library handing you everything pre-built

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

Intempt has 9 AI agents (Blu) 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

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

We 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

We'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

You'll onboard customers, drive adoption, reduce churn, and feed everything you learn back to product. You're the person who makes sure customers actually get value from the platform, not just sign up for it.

This is a hands-on role with real ownership. You'll define what customer success looks like at Intempt -- the onboarding flow, the health metrics, the renewal process, the escalation path. Small team, direct impact.

• Onboard new customers and run training sessions on the platform
• Monitor account health -- usage data, support tickets, engagement patterns
• Build playbooks for onboarding, adoption, expansion, and renewal
• Surface product feedback to engineering -- you're the customer's voice inside the company
• Proactively identify churn risk and intervene before it's too late
• Document everything -- processes, FAQs, common configurations

• 2+ years in customer success, account management, or solutions at a B2B SaaS company
• Technical enough to learn a complex platform and teach it to non-technical users
• A clear communicator who can turn a frustrated customer into a promoter
• Data-aware -- you track health scores, NPS, and expansion revenue, not just vibes
• Comfortable improving processes -- you've rebuilt something that wasn't working

• You need a large CS team with defined playbooks and a manager who assigns accounts
• You think customer success is just being nice on calls
• You can't get technical enough to troubleshoot a customer's integration