About the Opportunity:

We’re looking for a technically-minded Customer Success Manager who has worked in or closely with data science and ML teams - especially those who have annotated data themselves or supported others who have. You’ll help our enterprise customers operationalize labeling workflows, integrate Label Studio into ML pipelines, and unlock greater model performance through better training data.

As an early member of the Customer Success team, you’ll play a critical role in shaping our engagement model, helping customers scale, and influencing product direction based on hands-on technical experience.

What You’ll Do:

• Own strategic customer relationships across onboarding, adoption, expansion, and renewal.
• Partner deeply with ML and data science teams to help them integrate Label Studio into their data pipelines and labeling operations.
• Drive business value by identifying ways to reduce labeling cost and increase model performance through efficient workflows and better quality control, making usage recommendations aligned with customer business goals and strategic priorities.
• Support usage expansion by aligning with customer technical goals, helping to operationalize labeling workflows as part of their standard practice, and advocating internally for required feature enhancements.
• Establish yourself as a trusted technical advisor, providing best practices on annotation project setup, ontology design, human-in-the-loop processes, and data curation strategies.

What You'll Bring:

• 5+ years in customer-facing technical roles, such as Customer Success, Solutions Engineering, or Technical Account Management, with at least 3 years managing customer relationships.
• Familiarity with modern ML/AI workflows, data collection, including labeling, model training, quality assurance, and productionization. Experience aligning with strategic focus of Head of Engineering / Head of AI personas a big plus.
• Hands-on experience working with data labeling or annotation platforms, and an understanding of how they tie into ML workflows.
• Direct experience as a data scientist, ML engineer, or MLOps practitioner - or in a customer-facing role serving that audience.
• Strong understanding of AI/ML organizational dynamics - especially pain points and goals of technical leaders like Heads of AI, Data Science, or Engineering.
• Experience working in B2B SaaS, ideally at AI/ML companies or startups serving data science teams.

What Success Looks Like:

Within 1 month, you'll:

• Ramp on our product & company value proposition such that you can effectively articulate it to customers.
• Meet key enterprise customers and begin gathering success criteria and feedback.
• Identify gaps between the current status and the client’s desired outcome and how those gaps could be bridged.
• Partner with Sales, Technical, and Product/Marketing peers to craft Joint Success Plans for customers.

Within 3 months, you'll:

• Deliver high-impact onboarding & adoption plans.
• Serve as a proactive advisor on best practices for product usage and share applicable success stories to help customers transform their data labeling practice.
• Partner with your champions to evangelize success and achievements to further drive awareness and expansion opportunities within the organization.
• Capture product feedback and feature requests, identify the “why” and value behind that information to connect it to customer outcomes.
• Track towards key targets for customer satisfaction, renewals, and expansion.

Within 6 months, you'll:

• Nurture relationships with strategic accounts across user, technical, and executive personas. Guarantee satisfaction and alignment along every step
• Help continue building out customer success functions by drafting best practices, playbooks, and process designs in order for the team to serve a growing book of customers at scale.
• Represent the voice of the customer in cross-functional discussions.

Within 1 year you'll:

• Become a go-to technical leader for our most strategic accounts.
• Be proactive in identifying future obstacles in terms of larger customers' adoption and usage, and identify opportunities to expand their investment.
• Keep scaling customer success initiatives based on customer and usage growth, contributing to the team’s evolution as we scale.

It is an exciting time at HumanSignal; we are a growing startup and are constantly evolving. While we have put a lot of thought into your first and most important initiatives, we will develop these goals together. We're always learning and growing, so like us this role will evolve and expand. If this opportunity sounds exciting to you and you want to be part of our journey, we want to hear from you!

Why Join HumanSignal?

• We’re building the future of data-centric AI - an area with growing momentum and industry backing.
• Our product is already beloved by a thriving open source and enterprise community.
• You’ll work alongside experienced, mission-driven teammates who care deeply about quality, usability, and impact.
• We’re a startup with strong funding and massive room for growth.

At HumanSignal

While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page.

We welcome applicants from all backgrounds, even if you do not meet 100% of the listed criteria. Please include a resume or LinkedIn profile, a cover letter expanding on your background and interest in HumanSignal is appreciated but not required.

HumanSignal is proud to be an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us.

We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences.

We are hiring for this role across North America. Base Salary is targeted for $127,000 – $152,000 USD (based on experience and skills). This role also qualifies for variable compensation; anticipated On-Target Earnings are $158,000 – $190,000 USD. Final offer details are determined by several factors including candidate experience, expertise as well as applicable industry knowledge, and may vary from the pay ranges listed above. We also offer stock options, comprehensive health benefits, and a strong team culture rooted in transparency and collaboration. Join us!

About the Role

We’re hiring a Director of Finance to own the financial backbone of HumanSignal, the company behind Label Studio. Reporting directly to the CEO, you’ll own financial planning, business analytics, and the metrics infrastructure that drives decision-making across the company,  including our SaaS & labeling services business.

This is a hands-on leadership role with broad scope. You’ll partner with the executive team on strategy and planning, work cross-functionally with product, marketing, and sales, and build the financial infrastructure we need for the next stage of growth. If you’re energized by ownership, building from scratch, and operating at the intersection of strategy and execution, this is your role.

What You’ll Own

Financial Planning & Analysis

• Own the full P&L and free cash flow forecast; build and maintain our long-range financial model
• Lead the annual and quarterly planning cycle, including budgets, variance analysis, and ad-hoc modeling
• Deliver weekly KPI reporting to the executive team and board/investor reporting packages

Revenue & Deal Operations

• Run deal desk operations in partnership with Sales and Customer Success to ensure coherent deal structure and pricing
• Build and manage sales commission and incentive plans
• Develop, align, and drive accountability around company-wide KPIs

Labeling Services Metrics & Economics

• Own the financial model for our labeling services business, including project-level profitability, utilization, and margin analysis
• Partner with services leadership to develop pricing models, capacity planning, and resource forecasting
• Track and report on services revenue, backlog, and pipeline as a distinct business line alongside software ARR

Board & Strategic Support

• Own end-to-end board meeting preparation, including deck creation, data packages, and follow-ups
• Partner with leadership on strategic initiatives, business cases, and scenario planning
• Serve as primary liaison to external accounting, tax, and payroll services

What You’ll Bring

• 5+ years in an FP&A, finance, or business analytics role at a high-growth startup, or relevant experience in management consulting
• Experience building financial infrastructure largely from scratch, you’re comfortable being the first dedicated finance hire
• Strong command of SaaS metrics: ARR, NDR, CAC payback, gross margin
• Experience with services or professional services financial modeling (utilization, project margins, blended rates) is a strong plus
• Highly analytical with advanced modeling skills
• Experience preparing board materials, investor updates, and executive-level reporting
• Ability to build a case and tell a persuasive story that drives decision-making across the organization
• Self-starter who can own complex projects end-to-end with minimal direction
• Startup mentality, no job is too small, and you default to action over analysis
• You’re familiar and utilizing all of the latest AI tooling and support to make yourself more efficient
• Attention to detail. In your application, tell us about a financial model you built that turned out to be wrong, and what it taught you. We read every application and want to make sure you do the same.

What Success Looks Like

First 30 Days

• Own the financial model, take over the P&L and FCF forecast and identify gaps or errors
• Deliver your first board data package with minimal hand-holding
• Produce an initial labeling services P&L with project-level margin visibility
• Audit external accounting and payroll vendors; present a recommendation on any changes

First 90 Days

• Own the full board prep process end-to-end, including the deck, data, and follow-ups
• Ship a company-wide KPI framework with named owners, targets, and a weekly reporting cadence
• Work alongside product to create pricing structure for new product / add-ons
• Deliver a revised deal desk process with documented pricing guardrails and approval workflows

First 6 Months

• Rebuild the long-range financial model to support scenario planning across software and services
• Execute at least two pricing or cost optimization initiative with measurable impact
• Be the person leadership relies on for any financial question, no one should need to go elsewhere

About the Role

We’re looking for an ambitious AI Engineer to transform how our go-to-market team operates. San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid. 

As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.

This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software.

Why This Role Matters

This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount. You’ll help us:

• Turn GTM from a set of tools into a cohesive, intelligent system
• Scale workflows without scaling headcount
• Improve signal quality and timing for marketing and sales
• Increase learning velocity across the entire funnel
• Shape how an open-source, bottom-up product grows into enterprise adoption

What You’ll Do

Build & Automate the foundational GTM AI stack

• Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
• Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
• Build internal tools and lightweight services that accelerate GTM teams
• Replace manual workflows with scalable, automated systems

AI-Powered Systems & Agents

Design and deploy AI-driven workflows and agents that augment GTM teams.

Examples include:

• Lead qualification, inbound lead routing, and enrichment
• Personalized lifecycle marketing and outbound messaging
• Sales assist tools for deal intelligence and account research
• Automated account insights, pipeline analysis, and deal lifecycle management
• User onboarding, activation, and expansion signals

You’ll continuously improve these systems using real performance data and feedback loops.

Growth: PLG + Sales-Assisted Motion

• Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
• Partner with Data & Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
• Partner closely with Product & Marketing to turn usage insights into GTM leverage

Experimentation & Learning

Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence.

• Design and run experiments across acquisition, activation, conversion, and expansion
• Build experimentation frameworks (feature flags, A/B testing, measurement systems)
• Instrument systems to capture reliable data and insights
• Rapidly iterate based on results, not assumptions

Feedback Loops & Continuous Improvement

Create tight feedback loops between users, product signals, and GTM actions.

• Partner with head of , accessible, and actionable across teams
• Turn qualitative and quantitative insights into system improvements
• Continuously optimize workflows, models, and automation based on real outcomes

What We’re Looking For

Core Skills

This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools.

• Strong engineering background (software, data, or growth engineering)
• Comfortable shipping production code (APIs, services, scripts, internal tools)
• Experience working with data pipelines, analytics, and experimentation frameworks
• Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems

Collaboration & Ownership

• Ability to work cross-functionally with Product, Engineering, Marketing and Sales
• Comfortable operating with ambiguity and defining the problem as you go
• Strong communicator who can translate between technical and GTM stakeholders

Nice to Have

• Experience with open-source or developer-focused products
• Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
• Experience building internal tools for sales or marketing teams
• Prior work in B2B SaaS, data, or AI-first companies

About the Opportunity:  Remote, prefer to be US based on West or East Coast experience selling LaaS (Labeling as a Service) to MAG7.  

Reporting to: VP of Sales

As an Enterprise Account Executive, you will have a tremendous impact on the company. We're looking for somebody with experience in closing Enterprise deals, who is a team player, proactive, and customer obsessed. You optimize for relationships that will last, and create value with every conversation. In this role, you will have an exciting chance to work on a category defining technology in an emerging market.

What You'll Bring:

• Enterprise sales experience ideally working with ML / big data / Cloud / SaaS products
• Enterprise Sales experience selling LaaS(Labeling as a Service) to MAG7 (Microsoft, Meta, Apple, Alphabet, Nvidia, Tesla (x.ai)) and/or OpenAI, Anthropic, Mistral, etc
• 5+ years quota carrying sales experience
• Success closing new accounts while maintaining existing accounts
• Experience in land and expand motion; PLG or OSS motion is a plus
• Passion for automation and a consultative approach
• Strong oral and written communication skills
• Self-motivated, proactive, and effective working in a remote environment
• A deep passion for discovering the customer need
• Comfortable with outbound prospecting and building pipeline from scratch

Within 1 month, you'll:

• Work alongside founders to help our customers achieve their goals and grow the company
• Identify and close quick, small wins while managing longer, complex sales cycles
• Track all customer details including use case, next steps, timelines, forecasting using Salesforce
• Use a solution-based approach to selling and creating value for customers
• Continually ensure complete satisfaction among all customers

Within 3 months, you'll:

• Exceed activity, pipeline, and revenue targets
• Close both new accounts and maintain existing accounts
• Collaborate across different functions, engineering, marketing, product, community to help the company progress towards its strategic direction
• Become a member of the open-source community and help our beloved users to buy software and negotiate with stakeholders

Within 6 months, you'll:

• Maintain consistent and predictable close rates for new customers
• Create and sustain consultative relationships with existing and prospective customers
• Help onboard new team members

Within 1 year you'll:

• Be able to create a strategic plan to close new customers of interest
• Focusing on renewals and longer term benefits for the customer
• Understand customer roadmap and identify opportunities to help leverage our technology for greater business outcome
• Continue to hone your skills and grow as a sales professional

It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!

At HumanSignal

While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page.

We hope you are interested in our opportunities and encourage you to apply even if you are not sure you fit all of the requirements. When applying please include: A short document covering of your experience & skills, such as a resume or linkedin profile. If you have a cover letter expanding on your background and why HumanSignal is of interest to you, even better, though a cover letter is not required & will not impact your application status. When we receive your application, we’ll get back to you about the next steps.

HumanSignal is an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us.

We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences.

We are hiring for this role across the United States. On Target Earnings (OTE) for this role to be $300,000 USD; with a 50/50 split, with base pay of $150,000 USD annually + $150,000 USD variable commission.  This role also qualifies for variable compensation in the form of commissions. If an employee is meeting sales quota as outlined in our commission plan This range is provided by market data and is in good faith. The final offer details are determined by several factors including candidate experience, expertise as well as applicable industry knowledge, and may vary from the pay ranges listed above. 

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.

Responsibilities

• Design, build, and operate backend services/APIs in Python/Django with Postgres/Redis.
• Own outcomes, not tasks: refine scope, suggest trade-offs, and land increments that deliver value quickly and safely.
• Model data and author migrations; tune queries and caching; manage background jobs/queues for high-volume workflows.
• Evolve API contracts with FE; keep interfaces clear, versioned, and resilient to change.
• Improve reliability and performance (timeouts, retries, idempotency, rate limits, pagination, backpressure).
• Implement secure, multi-tenant patterns: auth, permissions/RBAC, auditability, and safe data boundaries.
• Contribute to testing strategy (unit/integration), error handling, and graceful failure modes.
• Partner with Support to investigate production issues and turn learnings into fixes and prevention.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production backends in Python/Django (or a close equivalent) and SQL.
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Depth in REST API design, relational modeling, migrations, and performance tuning.
• Experience with background processing/queues (e.g., Celery/RQ/Kafka-backed workers) and operational concerns.
• Clear written communication at a Senior IC level—concise RFCs/PRDs, actionable reviews, and crisp decision records.
• Nice to have: GraphQL familiarity; Kafka/streaming; Spark/BigQuery; security/compliance exposure; multi-region architectures.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript—and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.

Responsibilities

• Build and maintain frontend components and views for labeling, review, and evaluation workflows with performance, accessibility, and scalability in mind.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Prototype to de-risk UX; use flags/gradual rollouts; gather feedback from users/support and iterate after releases.
• Raise the bar on FE standards: state management, testing, error boundaries, a11y, i18n, and developer ergonomics.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production React/TypeScript apps (HTML/CSS mastery; ES6+; a11y).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Comfort collaborating with APIs and occasionally touching backend code (Django/REST familiarity is a plus).
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
  
  

Nice to have

• Experience with data/ML tools, OSS, design systems, or performance profiling.
• Familiarity with feature flags/gradual rollouts and qualitative feedback loops (support forums, user sessions).
• Prior work on complex, data-heavy UIs (review tools, multi-step workflows, or IDE-like apps).
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.

Responsibilities

• Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
• Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
• Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.