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Intempt

Join us

Build what replaces the entire GTM stack.

Small team. AI-native. 350M+ events/month. No layers between you and the outcome.

Intempt is an autonomous growth platform for B2B SaaS companies. We process 350M+ events/month, power real-time personalization and AI-driven workflows, and replace 10+ fragmented marketing tools with one unified platform. Small team. Real problems. No bureaucracy.

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 the EU, US, and India. 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.

Open positions

13 open roles·100% remote·EU, US, India

⚙️ engineering

4 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.

Roman - Engineering

Senior Platform Engineer (Java & Python)

hiring now
Remote·Full-time·5+ years·Core Platform

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. Java for the platform services, Python for the ML and data pipelines. This is platform engineering - not application development.

What you'll own
  • 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
You are
  • 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
Stack you'll live in
Java 21PythonSpring Boot WebFluxFastAPIKafkaApache FlinkClickHousePostgreSQLNeo4jRedisKubernetesAWS
Not a fit if
  • You need clean requirements to get started
  • You think "it works at small scale" closes a ticket
Apply now →

Data Scientist (ML + LLM Systems)

Remote·Full-time·3+ years·Core Platform

Intempt 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.

What you'll own
  • 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.
You are
  • 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
Stack you'll live in
PythonJava 21Claude API (Opus / Sonnet / Haiku)Apache FlinkKafkaClickHouseNeo4jPostgreSQLCLIP / SentenceTransformerDeepgram Nova-3fal.ai / Kling v3PyTorchscikit-learn
Not a fit if
  • 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
Apply now →

DevSecOps Engineer

hiring now
Remote·Full-time·3+ years·Core Platform

Intempt runs 36+ microservices on AWS EKS (Kubernetes 1.25) processing 350M+ events/month. Aurora PostgreSQL 13.8, MSK Kafka 3.3.1, ClickHouse on Altinity Cloud, Apache Flink, HashiCorp Vault, Redis - all managed through Terraform with SOPS-encrypted secrets and deployed via GitHub Actions CI/CD with OIDC auth. The infrastructure works. We need someone who can run it and prove, continuously, that it's secure.

This is a security-first role, not DevOps with a security checklist bolted on. You'll own IAM least-privilege across 20+ per-service GitHub Actions deployer roles, container image scanning on every ECR push, Vault secret rotation and Transit engine key management, network segmentation across VPCs and security groups, and vulnerability management for every service in the cluster. Every service has its own ECR repo with immutable tags and scan-on-push - you decide what blocks a deploy.

What you'll own
  • Security posture for 36+ microservices - threat modeling, container vulnerability scanning (ECR scan-on-push), and remediation SLAs
  • IAM and secrets - least-privilege GitHub Actions OIDC deployer roles, HashiCorp Vault HA (KMS auto-unseal, Transit engine, AppRole auth), SOPS+KMS-encrypted Terraform state
  • Network security - VPC segmentation, security groups, ALB/WAF rules, TLS everywhere (ACM/cert-manager), service-to-service auth
  • EKS cluster operations - node group scaling, spot instances, Fargate profiles, RBAC hardening, Pod Security Standards, and day-2 kubectl work: pods stuck in Pending, CrashLoopBackOff, resource limit tuning
  • Terraform IaC across all environments (staging/qa/production) with S3 state backend and policy-as-code guardrails
  • Database and streaming security - Aurora PostgreSQL 13.8 encryption at rest/in transit, MSK Kafka 3.3.1 TLS and ACLs, ClickHouse access control
  • Incident response - detection tooling (DataDog, CloudWatch), security runbooks, postmortems that fix root cause
  • Compliance and DR - audit logging, AWS Backup (daily, 7-day retention), RDS point-in-time recovery, evidence collection for security reviews
You are
  • 3+ years in a security-focused infrastructure role - DevSecOps, cloud security, or AppSec, not general DevOps with security as an afterthought
  • Deep AWS IAM expertise - least-privilege policies, OIDC federation, cross-account roles, and you can read a policy doc and spot the over-permission
  • Hands-on with container and supply-chain security - image scanning, SBOM, signed images, dependency vulnerability triage
  • Experienced with HashiCorp Vault operations - secret rotation, Transit engine, dynamic secrets, AppRole patterns
  • Comfortable running production Kubernetes on AWS - RBAC, network policies, Pod Security Standards, admission control
  • Deep hands-on kubectl fluency - you debug a pod stuck in Pending or a CrashLoopBackOff from the events and logs, not a search engine
  • Strong Terraform experience - multi-environment IaC, remote state, encrypted secrets, policy-as-code
  • Someone who thinks like an attacker first and an operator second - you find the gap before it's exploited
  • Bonus if you hold AWS Certified Security - Specialty or AWS Certified Solutions Architect - not required, but it signals the depth we're looking for
Stack you'll live in
AWS (EKS, Aurora, MSK, ElastiCache, S3, CloudFront, Route53, ACM, EFS, IAM, GuardDuty)Kubernetes 1.25TerraformGitHub Actions (OIDC)HashiCorp VaultContainer/image scanning (ECR scan-on-push, Trivy)Apache FlinkClickHouse (Altinity Cloud)DataDogHelmSOPS + KMSDocker / ECRPrometheus
Not a fit if
  • You've only used managed Kubernetes through a UI - we need someone who reads the Terraform and knows what every resource does
  • You can't debug a pod that won't schedule without googling every error message
  • You think security is a quarterly audit, not a daily practice
  • You can't explain the blast radius of an over-permissioned IAM role or a leaked Vault token
Apply now →

Engineering Manager

Remote·Full-time·7+ years·Engineering

We need a builder who leads, not a manager who used to build. You'll be in the codebase daily, deep in commit reviews, making sure fixes stay fixed - running a team of ~10-11 engineers in tight daily partnership with Product, with a real path to Director of Engineering, then VP Engineering or CTO.

The recurring problem is regression: fixes that land, then resurface weeks later. You'll build the discipline - regression test coverage as merge gates, root-cause fixes over patches - that makes "fixed" actually mean fixed. AI coding tools (Claude Code and similar) are the default, not novelty. See how we run engineering and our compensation philosophy in the handbook.

What you'll own
  • Ship code, review architecture decisions, know the projects your team owns as well as the engineers building them
  • Commit quality and cadence - daily commit rhythms, deep code review, regression discipline as a merge gate
  • Team of ~10-11 engineers - 1:1s, performance, hiring, prioritization
  • Daily lockstep with embedded PMs - without direct management authority over Product; Product reports separately
  • Growth path from EM to Director of Engineering, then VP Engineering or CTO - explicit, structured, driven by demonstrated ownership
You are
  • 7+ years in engineering, 3+ years directly managing 8+ engineers
  • Genuinely fluent in the codebase - you review PRs at depth, not just approve them
  • Similar stack experience (Java/Spring Boot, Kafka, distributed data) or a fast ramp
  • Track record running engineering rhythms: commit cadence, review standards, release process
  • Strong regression-prevention instincts - CI gates, test coverage for fixed bugs, root-cause fixes
  • Comfortable with AI-assisted development as the default workflow
  • Startup/scale-up comfort with ambiguity - tight Product partnership without formal authority
Stack you'll live in
Java 21Spring Boot WebFluxKafkaClickHousePostgreSQLKubernetesAWSClaude Code
Not a fit if
  • You stopped writing code when you got the manager title
  • You think fixing regression means adding a null check and moving on
  • You need formal authority over every function you partner with
Apply now →

🛠️ product

4 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.

Aman - Product

QA Engineer

Remote·Full-time·1+ years·Product

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 caught it before the customer did.

We do end-to-end scenario testing - real customer workflows walked start to finish against real infrastructure, no mocks, no fake data. You can use Claude Computer Use Agent to automate a scenario where it helps, but the job is scenario coverage and judgment, not tooling. Playwright handles engineering-owned e2e tests at PR time - that's eng's job, not QA's.

What you'll own
  • Design and run end-to-end test scenarios, using Claude Computer Use Agent to automate them where it helps
  • Build regression suites that catch bugs the way a customer would find them
  • Write test plans for new features before they ship
  • Report bugs with clear reproduction steps - engineers should be able to fix without asking you questions
  • Own end-to-end scenario testing for complex flows: multi-step campaigns, real-time events, AI agent interactions
You are
  • 1+ year in QA running end-to-end scenario testing against a real product
  • Comfortable with AI-driven testing tools and prompt-based automation
  • 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 logs
Stack you'll live in
Claude Computer UseTypeScriptReactREST APIsDocker
Not a fit if
  • You only click through the happy path before release
  • You think QA means writing Playwright scripts and watching them pass
  • You've never filed a bug report that an engineer could fix without follow-up
Apply now →

Product Owner (Agentic Chat UX)

hiring now
Remote·Full-time·3+ years·Product

Intempt 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.

What you'll own
  • 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
You are
  • 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
Not a fit if
  • 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
Apply now →

Design Engineer

Remote·Full-time·2+ years·Product

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.

What you'll own
  • 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
You are
  • 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
Stack you'll live in
FigmaTypeScriptReactTailwind CSSStorybook
Not a fit if
  • 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
Apply now →

Solution Engineer

hiring now
Remote·Full-time·2-5 years·Product

We don't have a customer success org or a sales org. Instead of a 5-person handoff chain (SDR, AE, CSM, SE, TAM), one sharp person owns the entire customer relationship - from first demo to full deployment to expansion. You make customers successful by being technical enough to solve their problems directly.

Reports to Product, not Sales - because in a PLG company, demo signal feeds product improvements, not a rep's pipeline. You'll build tailored demos mapped to each prospect's real data, configure actual scenarios in the platform, and stay with the account through onboarding and growth. Strong track into Product Marketing, Product Management, or Sales Engineering leadership - the SE seat is one of the highest-signal places to learn what customers actually want.

What you'll own
  • Full customer lifecycle - demo, onboard, deploy, support, expand. No handoffs
  • Build and run tailored demos mapped to each prospect's actual data and use case - not canned walkthroughs
  • Deep discovery before you demo - understand the prospect's current stack (Klaviyo, Segment, Mixpanel, HubSpot, etc.), their pain, and buying criteria
  • Technical implementation - help customers integrate the platform, configure agents, set up data flows
  • Handle technical objections live - integration questions, data model questions, security/compliance (SOC 2, GDPR)
  • Account health - usage data, support patterns, expansion signals. You catch churn before it starts
  • Feed the product org - turn demo patterns, pushback, feature gaps, and messaging that lands into roadmap and positioning input
  • Build demo data with Claude Code - ingest data through APIs and build realistic, prospect-specific demo environments
  • Documentation and playbooks - build the knowledge base that scales you
You are
  • 2-5 years as a solution engineer, sales engineer, or technical CSM - ideally at a PLG or product-led B2B SaaS company
  • Comfortable being hands-on in a live product - configuring, building, troubleshooting in real time in front of a prospect
  • Strong technical fluency - APIs, integrations, data models without needing an engineer in the room
  • Comfortable running a demo, closing a deal, and onboarding the same customer - no role boundaries
  • Hands-on with Claude Code (or similar AI coding tools) to script API-based data ingestion
  • Self-directed - you own your book of business and don't need a manager assigning tasks
  • Track record of measurably improving trial-to-conversion or expansion rates
Not a fit if
  • You want a pure sales role with no technical work, or a pure technical role with no customer interaction
  • You run the same canned demo for every prospect
  • You can't context-switch between a product demo at 10am and a technical troubleshoot at 2pm
Apply now →

📣 marketing

5 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.

Somya - Marketing

Creative Director (Video)

hiring now
Remote·Full-time·3+ years·Marketing

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.

What you'll own
  • 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
You are
  • 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
Not a fit if
  • 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
Apply now →

Website and AEO Marketer

hiring now
Remote·Full-time·3+ years·Marketing

You own Intempt's organic acquisition engine end to end: the website, the blog, the free tools, the docs, and how all of it shows up in ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. This is a narrow, deep role, not a growth generalist seat - social, video, outbound, and community each have their own owner on this team.

SEO gets you ranked. AEO gets you cited inside the answer itself. You own both, and you write first drafts yourself - you don't just brief an agency.

What you'll own
  • Own Intempt's SEO strategy: keyword and topic research, technical SEO, internal linking, content structure
  • Own AEO: structure content and schema markup so it gets cited and quoted by AI answer engines, track citation share across ChatGPT, Perplexity, Claude, and Gemini
  • Write and ship blog posts, landing pages, and comparison pages that rank, get cited, and convert
  • Own the free tools funnel - the pages that bring people in through search and turn into signups
  • Website conversion - copy, page structure, CTAs, on-page experiments
  • Work with the docs team to make technical content (API, MCP, CLI docs) discoverable and machine-readable
  • Track organic traffic, AI citation share, ranking, and signup conversion by page - no vanity metrics
You are
  • 3+ years owning SEO and website growth at a B2B SaaS company, with real ranking and organic-signup numbers to show
  • Hands-on with AEO: structured data, schema markup, and formatting content so AI answer engines can parse and cite it
  • Can write - you ship first drafts yourself, not just briefs
  • Comfortable with technical SEO (site structure, schema, core web vitals) as well as copy
  • Can read Search Console and GA4 data yourself and turn it into a prioritized page list, not wait on an analyst
  • Data-driven - you know which pages convert, and which get cited, and why
  • A specialist - you go deep on search and the page, not five other channels at once
Stack you'll live in
Google Search ConsoleGA4 / GoogleTagMixpanelSchema.org structured data
Not a fit if
  • You think SEO means keyword-stuffing, not intent-matching
  • You've never looked at how your content shows up (or doesn't) in ChatGPT or AI Overviews
  • You've only managed an agency, never written the content yourself
  • You can't point to organic traffic or signups you personally drove
Apply now →

Social Media Marketer

hiring now
Remote·Full-time·1+ years·Marketing

We 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.

What you'll own
  • Own Intempt's social channels end to end: Instagram, TikTok, YouTube Shorts, and LinkedIn
  • A content calendar that ships 15-20+ pieces per week, cut from footage the Video role produces plus your own phone-shot, native-feeling clips
  • Trend-jacking and format adaptation - spot what's working, remix it for B2B SaaS
  • Platform-native editing and captioning - fast turnarounds that don't need the full production pipeline
  • Performance tracking - you know your hook rate, watch time, and share rate by heart
  • Community engagement - reply, stitch, duet, comment. Be a person, not a brand account.
You are
  • 1+ year creating short-form content that actually went viral (show us the numbers, not the strategy deck)
  • Fluent in platform-native formats - you know what works on Reels vs. TikTok vs. Shorts vs. LinkedIn
  • A fast editor - you can concept, shoot on your phone, and post same-day
  • Comfortable on camera or comfortable making other people look good on camera
  • Obsessed with hooks - you know the first 1.5 seconds decide everything
  • Able to make technical products feel simple and exciting without dumbing them down
  • Self-motivated and prolific - you post because you can't not post, not because someone assigned it
Stack you'll live in
CapCut / PremiereCanvaiPhone (seriously)Instagram / TikTok / YouTube / LinkedInAnalytics tools
Not a fit if
  • Your portfolio is only polished brand videos with 6-week production timelines
  • You think B2B content has to be boring or 'professional'
  • You need a creative brief and three rounds of approval before posting
  • Your best content has fewer than 10K views
Apply now →

Outbound Marketer

Remote·Full-time·2+ years·Marketing

Marketing at Intempt runs outbound. There's no SDR, no AE - you source, sequence, and close in the same seat, with an AI agent handling sequencing and lead scoring underneath you.

You define who to target, write what lands, and take the meeting. When something works, you scale it. When it doesn't, you kill it fast.

What you'll own
  • Own outbound pipeline generation targeting ICP accounts, with AI-assisted personalization and sequencing
  • Define and refine ICP targeting - SaaS, eCommerce, DTC, and B2B growth teams, 5-500 people, with real interest in CDP, lifecycle automation, experimentation, or sales tooling
  • Build and maintain account and contact lists - list-building, enrichment, and data hygiene before a single message goes out
  • Source leads, qualify against ICP, run demos, close accounts - full cycle, no handoffs
  • Direct the Outbound Prospector AI agent - review sequences, tune messaging, catch what's not landing
  • Log all pipeline in CRM and report on what's converting, not just what's sent
You are
  • 2+ years in outbound or full-cycle sales at a B2B SaaS company
  • Comfortable running a full cycle: source, qualify, demo, close - not just booking meetings for someone else
  • Can write a cold email and a LinkedIn message that gets a reply, not an unsubscribe
  • Hands-on with list-building and enrichment - you can build a targeted account list from scratch, not just work a list someone hands you
  • Can run live discovery and demo a technical product without a solutions engineer in the room
  • Comfortable working alongside an AI agent that runs the sequencing - you're the strategist, not the send button
  • Motivated by commission - this role pays 10% of net new MRR on top of base
Not a fit if
  • You want to hand off every qualified lead to someone else to close
  • You've never personally closed a deal you sourced
  • You think outbound means blasting the same template to 10,000 contacts
Apply now →

Community Manager (Blu)

hiring now
Remote·Full-time·1+ years·Marketing

Blu reps don't get nurtured by drip email. They get pulled in by other reps talking about what's working - a workflow, a shortcut, a win. That conversation needs a home. You're building it: the Blu Slack community.

This replaces lifecycle email, not supplements it. No nurture sequences, no automated drip. If someone's not opening Blu, the fix is a real conversation in the community, not another email.

What you'll own
  • Own and grow the Blu Slack community end to end - structure, channels, moderation, tone
  • Run recurring programs: AMAs, office hours, tips threads, user showcases
  • Turn real user workflows and wins into shareable moments that pull in their teammates
  • Be the first response - answer questions, surface bugs, connect users to each other before they connect to support
  • Feed the product and growth teams - patterns, requests, and objections you see daily in the community
  • Track engagement that actually matters: active members, threads with replies, community-driven signups - not join count
You are
  • 1+ years running an active Slack or Discord community for a product people use daily
  • You post and reply constantly because you can't not, not because it's assigned
  • Can design and run a recurring program (AMA, office hours) from scratch - invite, format, follow-up
  • Comfortable triaging - you know when something is a bug for engineering versus a question you can answer yourself
  • Comfortable being the face of the community, not hiding behind a brand account
  • Understand the product enough to answer real questions, not just moderate
  • Believe community beats email for retention in a product like this - and can argue why
Not a fit if
  • You think community management means scheduling weekly announcement posts
  • Your plan for engagement is a monthly newsletter
  • You've only run a community that existed for support tickets, never for nurture and expansion
Apply now →

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.

Frequently asked questions

How do I apply?
Email hey@intempt.com with the role you're interested in, a link to your work, and a short note on why Intempt. No cover letter template - just be direct.
Where is Intempt located?
US company, 100% distributed. Team members across the EU, US, and India. Fully remote since day one.
What are the working hours?
Flexible. Most roles need overlap with CET (GMT+2) plus or minus 3 hours. We care about output, not hours logged. Focused 8-hour days, 40-hour weeks.
Do you provide benefits?
Medical, dental, vision, and 401(k) for US team members. Benefits vary by location for international team members. Competitive compensation across all regions.
What's the tech stack?
Java 21, Python, Spring Boot WebFlux, React, TypeScript, Next.js, PostgreSQL, ClickHouse, Kafka, Apache Flink, Neo4j, Redis, Kubernetes, AWS.
How big is the team?
15-20 people across engineering, product, marketing, and customer. Small enough that your work is visible. Big enough that you're not doing everything alone.
Open to interns?
Yes, across all teams. Same application process. Reach out at hey@intempt.com.

Referral bonus

$200 for any position. $400 for difficult-to-fill roles. Paid after the new hire has been with Intempt for 3 months.

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.

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