Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We’re looking for Applied Research Scientists to help us develop cutting-edge computer vision and generative models to power our creative tools. We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills, and who are deeply interested in seeing their research materialize in novel user interfaces for creative tasks.
This is a cross-functional team that requires strong communication and collaboration skills; you will have a chance to work with our backend team to help bring your research models to production, and with our design and frontend engineering team to make sure that your machine learning models work in harmony with the user interfaces that interact with them.
WHAT YOU’LL NEED
- 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
- Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code
- Deep interest in building human-in-the-loop systems for creativity
- Passion for seeing research through from initial conception to eventual application
- Experience mentoring and teaching other researchers
- Strong communication, collaboration, and documentation skills
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Home based - EMEA
As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
We have a number of mid-senior level openings in our team seeking the following:
Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
Strong behavioural interviewing techniques (competency based and psychometric assessments).
Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
A high level of personal organisation to work remotely and be effective.
Location: This is a remote position based in the EMEA region
What your day will look like
As a Talent Scientist you will:
Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
Consider our employer brand and how our interactions with a candidate impacts their experience.
Review and streamline hiring processes and tools to drive continuous improvement.
Work with external third parties and platforms to ensure we maximise our return on investment.
Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
What we are looking for in you
An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
Experience of hiring talent in the technology or consulting industry.
A highly data drive mindset with the ability to create measurable outcomes.
Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
Exposure/appreciation of psychometric assessments, including interpretation.
Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
A high level of personal organisation and self drive to work remotely and be effective.
Willingness to travel to company events 2-4 times a year, for up to two weeks each.
Other skills you may bring
Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
Psychometric validity and reliability metrics.
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Remote - US
About the Job:
LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on.
We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design.
The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work.
Responsibilities:
Lead cross-functional product leadership.
Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market.
Build and lead the product management organization.
Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about.
Own the product operating system.
Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped.
Drive roadmap delivery across every product pillar.
Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do.
Create portfolio discipline without slowing the company down.
Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support.
Drive finishing.
A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team.
Own packaging execution and commercial outcomes.
Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals.
Stay close to customers and the field.
Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale.
Use AI to increase product and engineering leverage.
Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment.
What Success Looks Like in Your First Year:
The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale.
Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding.
The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar.
The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it.
The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs.
The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar.
About You:
You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to.
You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships.
You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist.
You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship.
You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision.
You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread.
Qualifications:
Minimum of 15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform
.
Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform.
Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue.
A track record of building and developing a product organization, rather than simply inheriting one.
Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes.
Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio.
Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams.
Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution.
Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan.
Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped.
Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality.
Pay:
Target pay ranges based on Geographic Zones* for Level E1:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$424,000 - $583,000
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700
*
Zone 3:
All other US locations - $360,400 - $495,550
*
All Zones Inclusive of 25% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Чем предстоит заниматься: Активный поиск ( сорсинг ) IT -кандидатов по сложным запросам разработчиков, DevOps , Data Scientists , QA и других специалистов. Работа с международными площадками: LinkedIn (включая X-Ray search), GitHub, Stack Overflow, Telegram-чаты, специализированные англоязычные форумы.
Предстоит: Участвовать в планировании и запуске A/B-тестов, уметь интерпретировать результаты; Работать в связке с Data Scientist, Data Analyst: собирать требования, формировать и декомпозировать задачи, синхронизировать команду по статусам;
— Участвовать в управлении ML-продуктами: анализировать технические и продуктовые метрики, предлагать гипотезы, искать точки роста. — Участвовать в планировании и запуске A/B-тестов, уметь интерпретировать результаты.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
*Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle
This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale.
We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love.
You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators.
This role is a fundamental and critical part of the team at a market-defining company in its early stages.
What you’ll do
- Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market
- Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities
- Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way
- Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features
- Talk with users weekly to uncover use cases and turn feedback into product decisions
- Drive pricing and GTM strategy in partnership with business teams
What you’ll need
- 4+ years of product management experience, including taking products from zero to one
- A strong technical foundation, typically demonstrated by things like the following:
- A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics
- Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product)
- Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices
- Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers
- Experience in fast-moving teams, with comfort operating amid ambiguity
- Excellent written and verbal communication skills
Nice to have
- Experience with generative AI, creative tools, or media products
- Experience owning pricing or GTM for a product
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: United States of America
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
A global technology leader specializing in search technology, digital advertising, cloud computing, and artificial intelligence. Delivering enterprise cloud infrastructure and software solutions, the organization builds scalable consumer and enterprise AI experiences. Today, the company leverages foundational AI models and advanced machine learning to power digital ecosystems for billions of global users.
What You’ll Do
Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes
Evaluate privacy risks and recommend practical safeguards aligned with internal standards and applicable global regulations
Manage reviews from initial discovery and risk identification through remediation and final approval
Provide strategic guidance and support the escalation of complex or high-risk privacy matters
Maintain accurate, detailed, and audit-ready assessment documentation
Assess the privacy implications of AI, machine learning, generative AI, and Large Language Model systems
Evaluate data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and human-in-the-loop oversight
Identify potential risks involving personal data, data leakage, memorization, secondary use, data retention, and inappropriate model outputs
Recommend appropriate privacy controls for experimental and production AI systems
Support the responsible development and launch of emerging AI capabilities
Review technical design documents, Product Requirements Documents, Business Requirements Documents, system architecture diagrams, data-lineage documentation, and academic publications
Identify privacy touchpoints, data dependencies, and potential gaps across product and data-processing lifecycles
Translate privacy, legal, and compliance requirements into practical and actionable guidance for product and engineering teams
Evaluate complex product scenarios in which requirements, risks, or ownership may not yet be clearly defined
Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders to incorporate privacy controls throughout the product lifecycle
Evaluate controls relating to notice and consent, transparency, user choice, data portability, data minimization, access, and retention
Review data-collection practices, consent flows, access controls, privacy policies, and user-facing privacy notices
Help teams make informed product decisions that balance innovation, regulatory obligations, and user trust
Identify gaps in existing privacy-review processes and recommend operational improvements
Develop and refine privacy frameworks, standard operating procedures, guidelines, templates, and review criteria
Support operational reporting and program-management activities across the privacy lifecycle
Use custom tools and AI technologies to automate workflows, improve review efficiency, and optimize governance operations
Help establish consistent and scalable privacy-review practices across research and innovation teams
What You Bring
Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses
Product-focused privacy experience within technology, digital platforms, cloud services, AI, or similarly complex environments
An active IAPP certification in at least one of the following: Artificial Intelligence Governance Professional, Certified Information Privacy Professional/United States, Certified Information Privacy Professional/Europe, Certified Information Privacy Manager
Practical knowledge of AI and machine learning data-processing workflows, generative AI applications, and Large Language Models
Understanding of privacy risks associated with model-training data, user inputs, inference processes, and model outputs
Deep knowledge of privacy principles, including notice and consent, transparency, user choice, data portability, data minimization, and retention
Knowledge of relevant privacy and AI regulatory frameworks, including GDPR, CCPA, and the EU AI Act
Ability to interpret complex software-design documents, system architectures, data flows, and product requirements
Experience managing multiple reviews and competing priorities under tight deadlines
Strong judgment and the ability to make well-supported recommendations in ambiguous or rapidly evolving environments
Exceptional written and verbal English communication skills
Ability to translate legal and compliance requirements into clear, actionable technical guidance
Strong stakeholder-management and influencing skills across product, engineering, legal, and governance teams
Nice to have
Familiarity with enterprise privacy-review, governance, and product-launch tools
Experience supporting privacy governance for research, experimental products, or emerging technologies
Experience working with cross-functional legal, ethics, privacy, product, and engineering governance bodies
Experience automating privacy-review or governance workflows using AI or custom tooling
A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline
Additional privacy, security, risk, or AI-governance certifications
English level
Advanced
Work Type:
Remote
Location:
United States
Working Hours:
Alignment with west coast US time zone
Legal & Hiring Information
Compensation Transparency: The expected compensation range for this role is $50–100/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs.
Location Eligibility: This role is open to candidates residing in the United States.
Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required.
Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.
Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.
Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws.
Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us.
Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice.
Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place.
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: Vancouver, Canada
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Who We Are
Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization.
We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence.
Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters.
Role Summary
As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years.
We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders.
What You’ll Do
- Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery.
- Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs.
- Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements.
- Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges.
- Conduct code reviews, software design and architecture, and pair programming.
- Collaborate closely with product managers and data scientists to design and deliver impactful data products.
- Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team.
What We’re Looking For
- 5+ years experience working on Data Modeling and Data Analysis domain.
- Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
- Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus.
- Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus.
- Solid grasp of modern software development lifecycle.
- Ability to efficiently navigate complex multiconstraint decision-making.
- Experience working in a diverse and international environment.
- Experience in the mobile app, advertising, or gaming ecosystem.
- Experience with product design and infrastructure challenges.
- Major in Math or Computer Science.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Global Teams
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
Our benefits include:
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Wi-Fi Allowance.
- Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Paris; Helsinki
Workplace: Hybrid
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide.
Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation.
Within Helix, you'll join the RTB team, the group that owns the bidder and the services behind it that help it take the optimal bidding decision. Bidder, pricing, models and data are all built in-house, so nothing is out of reach when you want to change how a bid gets made. You will work with expert backend and machine-learning engineers in real-time bidding, on a system that prices ad requests across mobile gaming in real time, at a scale few teams get to work at.
ROLE
We’re looking for a Senior Product Manager - Real Time Bidding to join our Engineering & Data team. In this role, you’ll drive product decisions across the full bidding pipeline.
You'll own projects end-to-end: roadmap, trade-offs, shipping, and cross-team contract. You will also:
- Own the roadmap of the bidding pipeline. How we target, price, pace and cap, and what goes live in the bid path and when.
- Own the delivery. Adapt to changes, set clear priorities, communicate effectively
- Own experimentation as a product. Other teams test ideas on the bidder through the framework we build. You make sure they can run the experiments they need, trust the results, and get an answer fast.
- Keep the pieces fitting together. You spot a change in one team that will break another before it reaches production.
- Contribute to the product strategy beyond your scope.
PROFILE (MUST HAVE)
- Experience in programmatic advertising. You have worked on pricing, bidding or auction logic on a DSP, bidder or exchange, you know the pipeline from bid request to win, and you can explain the business impact of your work.
- Analytical mindset. You back decisions with data and understand the statistical basis of pricing and experimentation.
- You own outcomes across teams. When a change in one team is about to break another, you catch it and drive the fix before it ships.
- You use AI tooling daily to write specs, analyse data and prototype, and you move faster because of it.
PROFILE (NICE TO HAVE)
- Mobile user acquisition: app install campaigns, attribution or mediation.
- Experience working with ML or data science teams.
- Supply-side experience: ad exchange or SSP.
- Background in statistics, operations research or economics.
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
What you will do Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
Location: Anywhere in Belgium
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE INSURANCE TEAM ⭐️
Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation.
- We are at the heart of Alan's mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance.
- We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price.
- We build and manage offers for large companies and public institutions with our sales and account management teams.
- We make sure our portfolio is closely monitored and risks are effectively managed.
- We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators.
⭐️ THE INSURANCE EXPERT ROLE IN BELGIUM ⭐️
The role of an Insurance Expert at Alan is to:
- Design and price insurance offers,
- Monitor the business and the risks,
- Help the rest of the team understand the subtleties of healthcare and insurance.
Being an Insurance Expert at Alan in Belgium means:
- Being part of a talented team working to deliver the best experience to our members.
- Recent missions include:
- Build winning products and pricing strategies to unlock new segments
- Bring insurance expertise to help us sign the largest customers in Belgium
- Enter new segments like public sector to unlock new growth in Belgium
- Enhance our portfolio monitoring as it grows in scale and complexity
- Strengthen our relationship with regulatory bodies and improve our compliance
- Work with engineers to build tools to create tailored insurance offers at scale
- Being part of an insurance community at the global level, with an impact on our organisation, hiring and training across multiple countries.
⭐️ IS IT YOU WE'RE LOOKING FOR? ⭐️
You may be a great fit for the role if:
- You have 5+ years of experience in the insurance sector, with meaningful exposure to health insurance products (hospitalisation, group insurance, disability or dental)
- You are fluent in English and Dutch (French is a plus)
- You combine a scientific background (actuarial sciences, statistics, mathematics or data science) with practical experience in insurance (product, pricing, regulatory or analytics)
- You have strong analytical and strategic thinking skills, with the ability to translate complex data, business and legal questions into actionable outputs
- You have a builder mindset: you continuously identify opportunities to improve and scale processes and systems
- You are willing to deeply change the insurance and healthcare industry and challenge the status quo
- You communicate in a clear, structured and to-the-point way (written and spoken)
For this role, we are looking to hire within the C1-E level range.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: Anywhere in Belgium
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE INSURANCE TEAM ⭐️
Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation.
- We are at the heart of Alan's mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance.
- We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price.
- We build and manage offers for large companies and public institutions with our sales and account management teams.
- We make sure our portfolio is closely monitored and risks are effectively managed.
- We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators.
⭐️ THE INSURANCE EXPERT ROLE IN BELGIUM ⭐️
Being an Insurance Expert at Alan in Belgium means being part of a small and talented team currently working on delivering the best experience to our members.
The role of an Insurance Expert at Alan is to:
- Design and and price insurance offers,
- Monitor the business and the risks,
- Help the rest of the team understand the subtleties of healthcare and insurance.
Recent missions include:
- Contribute to new product design and pricing strategies.
- Support Sales with insurance expertise to help sign large customers in Belgium.
- Monitor the portfolio and improve the depth and accuracy of reporting.
- Document and structure insurance knowledge to up-level the Belgium team.
- Join the insurance on-call rotation to support internal teams with day-to-day questions.
- Work with Engineering on tools that create tailored insurance offers at scale.
- Being part of an insurance community at the global level, with an impact on our organisation, hiring and training across multiple countries.
⭐️ IS IT YOU WE'RE LOOKING FOR? ⭐️
You may be a great fit for the role if:
- You combine a scientific background (actuarial sciences, statistics, mathematics or data science) with a first experience or strong interest in insurance (product, pricing, regulatory or analytics)
- You have strong analytical and strategic thinking skills, with the ability to translate complex data, business and legal questions into actionable outputs
- You have a builder mindset: you continuously identify opportunities to improve and scale processes and systems
- You are willing to deeply change the insurance and healthcare industry and challenge the status quo
- You communicate in a clear, structured and to-the-point way in English (written and spoken)
For this role, we are looking to hire within the B1-C0 level range.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: Anywhere in Belgium, France
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
At Alan, we want people to find the right product to take care of themselves, as early and as easily as possible. Getting a new pair of glasses usually means an appointment, a lost prescription, 47 frames tried on in a store, and a two-week delay. Most people put it off for months.
The Shop is how Alan members get glasses, lenses and well-being products in a few clicks, covered by their insurance when possible. Most e-commerce teams are incentivized to sell more. We're incentivized to get members the right product at the right time for their health.
We're looking for a fullstack engineer to join the Shop crew. One brief: help our members choose what is right for them, when it is right for them, in a few clicks. Everything else, we figure out together.
ABOUT THE SHOP CREW
The Shop crew is a fully autonomous product team that owns the whole lifecycle of the Shop: not just the code, but the whole business. Product managers, product marketers, ops specialists, designers, data scientists and engineers work side by side on one mission.
What we've built so far:
- An end-to-end optics experience: frames and lenses, virtual try-on, prescription scanning, and checkout priced against each member's coverage.
- One commerce platform behind the whole Shop and its three verticals.
- A growing well-being catalog: about 14 brands and 170 products today, thousands soon.
The Shop is growing fast: more products, smoother flows, and an experience that's more and more integrated into the rest of Alan for our members. The crew needs to grow too, and that means plenty of new opportunities for engineers.
WHAT YOU'LL DO
The Shop is one of the most varied crews in Alan Engineering. In the same week, you might:
- 🔌 Build integrations with our customized e-commerce back office, our in-house virtual try-on, suppliers and partner opticians.
- 🛍️ Ship member-facing flows: dynamic catalogs, purchase flows tailored to each member's coverage, prescription scanning, returns, and out-of-pocket purchases like lens upgrades and extra pairs.
- 🌿 Scale the catalog beyond optics, with discovery and personalized navigation that still work at thousands of products.
- ⚖️ Navigate legal ground: e-commerce rules, invoicing, France's 100% Santé reform, and supplier compliance. Selling medical devices is not like selling socks.
- 📣 Help products reach members in the Alan app, in campaigns, and through Mo, our AI health assistant. A shop that can't promote its products is just a warehouse.
- 📦 Work with ops on orders, deliveries and customer service, so a two-day delay never surprises a member.
You won't just write code. You'll question supplier contracts, debate marketing copy, and debug prescription-scanning logic. Some days it feels less like building software and more like running a small business. That's the point. And the impact is direct: when someone orders their glasses faster, they literally see better, sooner.
WHAT WE'RE LOOKING FOR
- 8+ years building scalable software, with full-stack experience across backend and frontend.
- A strong product mindset. You want to understand the why before the how, and you enjoy working with members, ops, legal and marketing.
- Ownership from start to finish: you frame the problem, ship the solution, and watch the numbers afterwards.
- Comfort with ambiguity and complex problems. You help shape the scope instead of waiting for a spec.
- Clear communication with non-engineers, in English (French is a plus, since our first market is France).
- Humility, curiosity, and a real interest in making healthcare more accessible.
BONUS POINTS
- Experience with e-commerce: catalogs, checkout, payments, order management, or a headless commerce platform like Saleor.
- Curiosity about where e-commerce meets healthcare.
- Experience with mobile (React Native) or with LLM-powered product features.
HOW WE WORK
- Our stack: React and React Native on the frontend, Python/Flask and PostgreSQL on the backend, all in one monorepo. Saleor powers our commerce back office.
- We deploy daily, and the engineers who make product decisions are the ones who build them.
- We use AI coding agents every day to move faster and focus on the hard problems.
- You own decisions, outcomes and a whole domain, and your incentive is to build what's best for members.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read https://blog.alan.com/tech-et-produit/engineering-organisation-at-alanthis article https://alan.com/en/blog/discover-alan/a/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
🌍 HOW WE WORK
Location: You must be legally eligible to work in France, Belgium, or Spain.
Remote work: We offer remote work flexibility, but we value in-person collaboration. We are looking for people who want to help people live in good health to 100 while helping employers turn health benefits from a cost center into their most valuable investment..
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: New York; Brooklyn, NY
Workplace: Hybrid
Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform.
As the Finance Lead at Ava Labs, you will help manage and strengthen our financial operations within the rapidly evolving cryptocurrency industry. This is a hands-on role requiring a self-starter who takes ownership from identifying a need through delivering the result. You will work closely with the CFO and cross-functional teams to drive financial clarity, maintain efficient operations, and ensure our financial practices align with regulatory requirements and business goals. You will partner with the CFO on financial execution and process improvement, with opportunities to contribute to broader strategic initiatives as you grow in the role. Reports to the CFO.
WHAT YOU WILL DO
- Financial Planning & Analysis: Lead financial planning and forecasting across the business. Build and maintain financial models to support budgeting, scenario planning, and departmental decision-making.
- Hands-on Execution and Ownership: Personally drive finance projects from start to finish, including gathering and validating data, building models, investigating variances, and implementing solutions. Proactively identify what needs to be done and follow through to completion, independently resolving challenges and coordinating with others when their input or approval is needed.
- Operations and Compliance Oversight: Manage day-to-day financial operations, ensuring compliance with statutory law and financial regulations. Oversee the handling of crypto and fiat transactions, ensuring efficient payments and settlements in close collaboration with the treasury team. Maintain and continuously refine existing systems for expense management, equity and compensation plans, travel arrangements, and accounts payable.
- Cross-functional Collaboration: Serve as a financial liaison among engineering, compliance, business development, legal, and accounting teams. Work with People Operations and Human Resources to align financial processes with workforce planning.
- Performance Management: Track and report key financial and operational metrics. Partner with the Head of Business Operations and Analytics to analyze trends and variances and flag business risks and opportunities.
- Innovation and Process Improvement: Identify opportunities to refine financial processes and systems as the business scales, and recommend changes to existing workflows. Support the CFO in identifying processes that can be automated, planning, and implementation of automation.
- Investor Relations and Strategic Communication: Collaborate with the C-suite to prepare and present materials for board meetings and strategic updates. Experience in venture capital fundraising is a plus, although direct fundraising activities are not currently planned. Create visually engaging and digestible financial presentations that simplify complex information for diverse audiences, enhancing communication both within the company and with external stakeholders.
- Corporate Development and Strategy: Support the CFO on corporate development activity, including entity spinouts, divestitures, and asset sales, and help evaluate, structure, and execute potential investments, acquisitions, or similar strategic transactions as they arise.
- Tax Responsibilities: Support tax planning and compliance efforts, ensuring tax positions align with overall fiscal policy and legal requirements.
- Legal Agreement Review: Collaborate with the legal department to review the financial terms of contracts and agreements.
- Financial Communication: Communicate financial insights and risks clearly to the CFO and relevant stakeholders to support informed decision-making.
WHAT YOU WILL BRING
- Education: BA or BS in Finance or Accounting; an MBA from a top-tier school is preferred.
- Experience: Extensive experience in finance within the digital assets or fintech sector. Proven track record in cryptocurrency management, international payments, and trading platforms. Experience in investment banking, corporate development, and fast-paced startup environments is highly valued.
- Adaptability and Resourcefulness: Comfortable being scrappy and resourceful in a dynamic environment, with sound judgment on trade-offs and prioritization under pressure.
- Technical Skills: Advanced financial modeling and analytics skills, comfortable working with large datasets. SQL or statistics experience is a plus.
- Industry Knowledge: Solid understanding of P&L, balance sheets, cash flow management, and general accounting principles. Familiarity with the regulatory landscape for cryptocurrencies is a plus.
- Communication Skills: Strong written and verbal communication skills, with the ability to work effectively across cross-functional teams, and high integrity.
- Self-Starter with a Hands-on Approach: Demonstrated ability to turn ambiguous requests into concrete deliverables with minimal supervision. Willing to roll up your sleeves and perform detailed work yourself, take initiative without waiting for direction, and deliver results without relying on a supporting team to execute.
- Leadership and Team Management: Comfortable mentoring or overseeing junior finance team members as the team grows while remaining directly responsible for hands-on execution and delivery.
- Attention to Detail and Strategic Perspective: Strong attention to detail balanced with the ability to see the bigger picture; able to think critically and solve problems under deadlines.
CULTURAL ALIGNMENT
At Ava Labs, we thrive in a high-accountability, high-urgency environment where execution matters more than location. We value individuals who don’t just need structure - but create it. They don’t need reminders - they own the calendar. If you’re ready to lead a finance team at the bleeding edge of crypto innovation, you won’t just keep up - you’ll set the pace. If you’re excited about shaping the financial systems that power the next generation of decentralized technology, this is your moment to lead.
(**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.)
WHY AVA LABS?
If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others.
Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.
УдалённоseniorСША; Lastly, the provided range is the expected salary for candidates in the U.S
seniorAlignment with west coast US time zone
ГибридseniorVancouver, Canada; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM
ГибридseniorParis; Helsinki
seniorГеография найма не уточнена
География найма не уточнена
Anywhere in Belgium, France
ГибридleadNew York; Brooklyn, NY
Все вакансии в одном месте — страница 16 · Job Hunters
