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Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
Mozilla is looking for an Incident Responder to monitor and mitigate attacks across Mozilla’s products and services. In this position, you will be a part of a flexible team responsible for handling security incidents. As such, you’ll need to have years of practical security experience and knowledge of the state of the art for detecting and responding to attacks. You’ll be someone Mozillians across the company depend on and trust to respond quickly and effectively in a crunch, with the outstanding communication and collaboration skills needed to work in partnership with diverse stakeholders. Most importantly, you will become a critical member of the team responsible for ensuring the integrity of Mozilla’s products and for keeping Mozilla’s users safe, within a company dedicated to building a more secure internet.
What you’ll do:
- Identify and respond to security incidents on a global scale.
- Act as an incident commander to drive incidents through the entire response lifecycle.
- Design and maintain a portfolio of security alerts, automated actions, playbooks and escalation workflows in support of a high-performing 24/7 incident response capability.
- Conduct threat hunting activities, anticipate future threats, and maintain forward-thinking strategies for tools/technology/processes that combat sophisticated threat actors.
- Research threat intelligence reports, triage and manage resulting workflows.
- Partner with key stakeholders and communicate effectively to maintain a continuously improving feedback loop of preparation, identification, analysis, containment, and post mortem activities.
- Participate in on-call rotation.
What you’ll bring:
- 5+ years of demonstrated ability managing security incidents at a global scale and/or experience working in Security Operations Centers (SOC), Product Security Incident Response Teams (PSIRT), and Computer Security Incident Response Teams (CSIRT).
- Expertise with security information and event management (SIEM) systems (eg. ELK, Google BigQuery, Splunk, etc.). Splunk proficiency is preferred.
- Expertise with integrating and leveraging threat intelligence for detection engineering.
- Expertise with security orchestration and automation (SOAR) platforms such as Tines or Splunk SOAR.
- Superb communication and leadership capacity; ability to partner effectively with diverse company stakeholders.
- Real-world experience in software development and/or engineering operations for consumer products and services; B.S. in a technology-focused field is helpful.
- Practical experience working with cloud technologies (eg. Google Cloud Platform, Amazon Web Services, Heroku, Microsoft Azure, etc.).
Competencies
- Ownership and Accountability
- Autonomy
- High Level of Integrity
- Clear Communication
- Creative Problem Solver
- Passionate about Security
What you’ll get:
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-DNI
Req ID: R2954
Ready to apply?
Apply to Mozilla
About the Role
We are seeking GTM Engineering interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our GTM team on automating workflows and designing demos for client prospects. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.
What you will be working on Weekly Basis
- Build and iterate on AI-powered go-to-market tools that help Safari AI scale outreach and accelerate deals
- Develop solutions that are robust across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and compelling prospect experience
- Work with a growing team of sales, marketing, and product engineers to ship GTM experiments quickly and feed learnings back into the product roadmap
- Design and maintain the systems, templates, and data pipelines that power outbound sequences, lead nurturing flows, and customer onboarding
- Build and maintain AI-driven prospect research and account-scoring pipelines that surface high-fit venues (stadiums, theme parks, retail, cruise, ski) and enrich them with operational signals (camera count, footprint, parent org, tech stack)
- Develop vertical-specific demo environments and ROI calculators that translate Safari AI's computer vision outputs (queue times, dwell, occupancy, conversion) into language and metrics each buyer persona cares about
- Operate the outbound infrastructure stack — sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data
Requirement for the Role
- Only students who can commit 6 months (2026/04-2027/01) will be screened
- Senior undergraduate or graduate school students in computer science or relevant field with exposure to classic and modern computer vision and machine learning techniques
- Excellent written and verbal communication skills
- Self-motivated, critical thinking and enthusiastic in solving real-world problems
- Experience with public cloud such as GCP, Azure or AWS
- Ability to design, implement, present, and operate independently without oversight
- Good business insight and exceptional analytical skills
- Comfortable wiring together modern GTM tooling (HubSpot, SmartLead/Instantly, Clay, Apollo, Zapier/n8n, Notion) and writing light Python or TypeScript to glue systems together
- Hands-on experience prompting and orchestrating LLM APIs (Anthropic, OpenAI) for production use cases — not just chat, but agents, classification, and structured output
- Working knowledge of SQL and at least one data warehouse or relational DB (PostgreSQL, BigQuery, Snowflake)
Nice to Have's
- Experiences in startup environment
- Exposure to B2B enterprise sales motions, especially with non-technical buyers in physical-venue industries (sports, hospitality, retail, attractions)
- Familiarity with computer vision concepts and the operational realities of CCTV/IP camera deployments
- Prior work building internal tools, dashboards, or AI agents that were actually adopted by a non-engineering team
What Safari AI Offers
- An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
- Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team
Why bet on Computer Vision and Safari AI?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
Ready to apply?
Apply to Safari AI
Technical Architect
Mammoth Growth is a modern data analytics consultancy. We use our unique combination of agnostic tools expertise and data-driven decision making to help our clients grow and thrive in an ever-changing marketplace. We are world-class business consultants who optimize systems to deliver measurable business outcomes. We have completed 850+ engagements with clients in all areas - e-commerce, SaaS, media, D2C, B2B - from start-ups to enterprise. Mammoth is trusted by industry leaders from Dropbox to Calendly to verify their data, manage their reporting infrastructure, develop growth strategy and provide recommendations and insights that achieve measurable results.
Ready to architect the future of data? We'd love to hear from you.
Why This Role is Different
Here at Mammoth Growth, we’re going beyond just building data pipelines, we're pioneering the future of AI-enhanced analytics engineering. Our team has developed custom workflows that combine our decade of best practices with cutting-edge AI capabilities. We've built a team, toolset and workflow that utilizes the best AI models to accelerate delivery while maintaining the quality standards we're known for.
As a Technical Architect, you'll be at the forefront of this transformation, working with our AI-enhanced tooling while guiding clients through complex data challenges. You'll define architecture, code hand in hand with agents, review code, and deliver solutions that exceed industry standards.
You will be immersing yourself in a contemporary data stack environment. While familiarity with tools like dbt, Snowflake, and BigQuery are vital, your ability to draw from broad experiences will be paramount.
What You’ll Do:
Technical Leadership
- Be the go-to expert in the room of how we are going to implement the solution
- Articulate and defend your recommendations
- Doing what it takes to move the project toward its goals
- Anticipate future problems and proactively mitigating them
Create Solutions
- Evaluate and document a client’s current systems
- Helping clients to realize their strategy and define their future roadmap
- Design and recommend new systems architecture
- Design the data architecture based on business requirements
- Design custom engineering integrations and solutions
Hands On Execution
- Build complex dbt implementations following medallion architecture patterns
- Design and implement model contracts, versioning strategies, and frameworks
- Conduct rigorous code reviews ensuring quality and testing coverage
What You’ll Need:
- Expert-level dbt proficiency: Complex modeling, macros, testing strategies, model contracts, state comparison, and performance optimization
- Deep cloud data warehouse experience: Extensive hands-on work with Snowflake AND BigQuery, including architecture, optimization, and advanced features
- Advanced SQL mastery: Query optimization, complex transformations, and performance troubleshooting
- Git proficiency: Branching strategies, PR workflows, CI/CD pipelines, and collaborative development practices
- Systems architecture: Proven experience designing and implementing scalable cloud-based data solutions
- Modern ELT architecture: Solid understanding of medallion architecture and evolving best practices
- Prompt engineering: Experience crafting detailed, effective prompts for LLMs
- AI Experience: understanding of top models and how to effectively implement them in development workflows.
Qualities:
- Demonstrated ability to quickly assess, strategize, and resolve high-stakes situations with calm precision and efficiency
- Inquisitive with an attention to detail and ability to ask the right questions at the right time
- Independently organized; self-starter; ability to work with minimal direction
- Good communication / client facing skills / ability to work in a team environment
- Enjoy learning new tools to better solve new challenges
We love working with people who like to laugh, smile and joke around.
We provide rapid career advancement, exposure to a huge range of business challenges, amazing clients and competitive compensation.
We are 100% Remote. Our team is fully distributed (before Covid and forever), allowing you the flexibility of working from home. At this time, we are unable to provide sponsorship. Must be a resident or green card holder of the U.S.,U.K. or Canada.
So, what are you waiting for?
Ready to apply?
Apply to Mammoth Growth
Senior Backend Engineer
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
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.
Ready to apply?
Apply to HumanSignal
Senior Frontend Engineer
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
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!
Ready to apply?
Apply to HumanSignal
Senior Full Stack Engineer
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
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.
Ready to apply?
Apply to HumanSignal