Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
• Partner closely with Sales and Data Science teams to identify important questions and answer them with data. 
• Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. 
• Create analyses that generate insights for business teams.
• Design, analyze, and interpret the results of experiments. 
• Build ETL data transformation pipelines in SQL.

Who you are

Minimum requirements

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation. 

• 3 years of experience building ETL data transformation pipelines in SQL;
• 3 years of experience working closely with product and business teams to identify important questions and answer them with data;
• 2 years of experience productionalizing and implementing machine learning models;
• 2 years of experience productionalizing and implementing software products;
• 2 years of experience designing, analyzing, and interpreting the results of experiments;
• 2 years of experience designing, and analyzing software architectures;
• 2 years of experience designing, implementing, and launching data science solutions;
• 2 years of experience designing, implementing, and launching software solutions; and
• 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-DNI

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Enterprise Product team is responsible for bridging the gap between Stripe's core capabilities and the bespoke needs of the world's largest organizations. We are hiring PMs who will be aligned to specific priority industries (e.g., insurance, healthcare, public sector), with each PM acting as the "CEO" of their assigned vertical - identifying high-leverage opportunities, building 0-to-1 products to solve industry-specific blockers, and influencing our global product roadmap. You will be a critical partner to GTM leadership (Sales, Partnerships, Marketing) and a navigator across the broader Product organization. We are looking for high-agency builders who thrive in ambiguity and know how to move mountains through both direct execution and cross-functional influence.

What you’ll do

We're hiring a Product Manager to own Stripe's product strategy and execution across our priority industry verticals, starting with complex, regulated industries like insurance, healthcare and public sector. We are seeking a highly entrepreneurial, data-driven product leader who will define where Stripe plays, build 0-to-1 products to unlock new revenue, and influence Stripe's broader Product organization to meet the unique needs of enterprise customers in your vertical. The products you build will directly shape how the world's largest companies use Stripe - and how Stripe grows within one of its most strategic segments.

Responsibilities

• Own the Industry Product Roadmap: Define and execute the multi-year product strategy for your priority vertical. Translate your "where to play / how to win" thesis into a concrete roadmap - deciding what Stripe builds natively, what we solve through platform extensibility, and where we partner. Own measurable outcomes tied to revenue, adoption, and merchant satisfaction. 
• Ship 0→1 Products: Identify unmet needs through deep customer research, data analysis, and market intelligence. Lead the full product lifecycle for industry-relevant functionality - from problem definition and technical scoping with engineering, through PRD, API and UX design, build, launch, and post-launch iteration. You'll make hands-on trade-off decisions about scope, technical approach, and sequencing with your engineering team. 
• Be a Strategic Partner to GTM and Customers: Work deeply with our largest customers, partners, and GTM teams. Translate "market noise" into clear product signal - shaping feature requirements, and defining the data models and integration patterns that enterprise customers in your vertical need.
• Act as a Force Multiplier Across Stripe's Platform: Influence Stripe's core product teams (Payments, Billing, Connect, and beyond) to ensure their roadmaps reflect the requirements of enterprise customers in your vertical. To do this credibly, you'll need to go deep on Stripe's platform - understanding our APIs, infrastructure constraints, and extensibility model - so you can advocate for changes with technical specificity, not just business cases.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 12+ years of Product Management experience, with a track record of shipping successful products in complex, regulated environments.
• Technical fluency: You don't need to write code, but you should be comfortable reading an API spec, reasoning about system design trade-offs, and holding your own in engineering discussions. You've shipped products where the "how we build it" mattered as much as the "what." 
• Deep customer obsession: A talent for getting close to customers - talking to merchants and partners - and distilling complex pain points into simple, elegant product requirements.
• Analytical rigor: You use data - not just intuition - to prioritize. You're comfortable defining metrics frameworks, digging into usage data, and making quantitative arguments for (or against) product investments. 
• A Master Communicator: Stripe is a writing-heavy culture. You must be able to articulate deep technical and strategic concepts through precise, persuasive prose - your narrative docs should be things of beauty.
• High Agency & Influence: Adept at finding "homes" for initiatives, building consensus across disparate teams, and driving momentum without needing formal authority.
• Entrepreneurial mindset and bias for action: Comfortable with ambiguity, skilled at prioritizing high-impact initiatives, and experienced operating with limited resources to unlock outsized outcomes.

Preferred qualifications

• Direct experience building products in Healthtech, Insurtech, Public Sector or similarly complex, regulated industries.
• Experience building platform, API, or developer-facing products. 
• Experience working closely with Enterprise Sales teams and C-suite stakeholders at Fortune 500 companies.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the role

Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product, Pricing, Sales and Partnerships to name a few teams. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch.  

We are looking for an experienced team member to shape our portfolio wide pricing and monetization strategy, deeply understand competitor pricing, develop pricing playbooks, and work with our Growth Product team to run pricing experiments to grow adoption. In this role, you will partner closely with our Product and Product Pricing teams, to develop a portfolio monetization strategy, understand & craft a narrative around the value our products deliver to users & engage cross-functional teams across sales, campaigns and product to drive adoption, and revenue across Stripe’s existing customer base and prospects.

What you’ll do

• Be deeply analytical. You like working with data and insights and pair that with your passion for users to generate balanced and thoughtful insights.
• Be a storyteller. You have deep empathy for users and are able to adapt how you communicate to best reach and engage your audience and differentiate Stripe. You have excellent verbal and written communication skills
• Keep things organized. You are able to manage highly interdependent, complex projects and keep various workstreams on track. 
• Be ambitious. You are eager to make an impact at Stripe. You thrive in a fast-moving, dynamic, hyper-growth environment and are able to operate fluidly between the 30,000-foot strategy level and the micro-detail to get things right
• Act as a team player. Product Marketers collaborate across the Marketing team and with basically every team at Stripe. You are able to work with a range of disciplines to execute on your work

Responsibilities

• Partner closely with product, pricing, and sales teams to build pricing and monetization strategies, with the goal of driving revenue, improving customer experience and product attach. 
• Develop a strong understanding of user needs, competitor pricing and sources of differentiation relative to other alternatives. Enable sales teams in understanding and communicating the value of our products. 
• Launch new pricing constructs, develop go-to-market plans, create messaging and positioning for different user segments. 

Who you are

Minimum requirements

• 3+ years of prior experience with focus on pricing / monetization and payments / fintech.
• Experience with understanding competitor landscape, conducting detailed benchmarking and understanding competitive strategies.
• Experience conducting qualitative and quantitative user research on product needs and value perception.
• Analytical mindset, with experience leveraging data to identify monetization opportunities and drive cross-functional alignment. 
• Excellent verbal and written communication skills.

Preferred qualifications

• Familiarity with analytical tools. SQL experience is a plus.
• Experience with financial services including online payments.
• “Roll up your sleeves” mindset to get any job done.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the teams

MaaS (“Money as a Service”) Data Science

The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers.  The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces).  We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite.  

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world’s largest enterprises to the most ambitious startups — use Stripe to accept payments, grow revenue, and unlock new business opportunities. Our mission is to increase the GDP of the internet, and we have an enormous amount of work ahead.

That creates a rare opportunity: to help build economic infrastructure for the internet and do some of the most meaningful work of your career.

About the team

Stripe’s Total Rewards team designs the programs that help us attract, motivate, and reward exceptional people around the world. We partner closely with leaders across People, Finance, and the business to build compensation programs that are competitive, thoughtful, equitable, and built to scale.

This team sits at the center of how Stripe grows. The work is highly strategic, deeply analytical, and essential to ensuring our compensation approach supports both our people and our long-term ambitions.

What you’ll do

As a Compensation Program Manager, you’ll help shape and operate Stripe’s global compensation programs at a critical moment in our growth. You’ll work on some of the company’s most important people systems — from annual compensation planning to program design, tooling, process improvement, and cross-functional enablement.

This is a role for someone who enjoys solving complex problems, working with data at depth, and turning compensation philosophy into programs that are clear, scalable, and impactful. You’ll collaborate across People, Finance, and business teams to ensure Stripe’s compensation programs continue to be a meaningful advantage as we grow globally.

Responsibilities

• Support the planning, execution, and administration of Stripe’s annual compensation cycle for employees globally
• Conduct research and analysis to inform new compensation policies, frameworks, and programs
• Analyze complex datasets, surface actionable insights, and build tools or models that improve quality, scale, and efficiency
• Partner with People Operations to configure and enhance compensation-related business processes, rule plans, compensation packages, and equity programs
• Collaborate with People Programs, Talent Acquisition, People Operations, and Learning & Development to align compensation programs with business goals and talent strategy
• Develop clear communications and enablement materials to help managers and employees understand Stripe’s compensation programs and philosophy
• Continually assess compensation programs to ensure they are competitive, equitable, compliant, scalable, and aligned with the outcomes Stripe is driving as a business

Who you are

We’re looking for someone who meets the minimum qualifications for the role. If that’s you, we encourage you to apply. Preferred qualifications are a plus, not a requirement.

Minimum requirements

• 6+ years of relevant compensation experience, including designing or managing global compensation programs and processes, ideally in a high-growth technology environment
• Strong knowledge of compensation best practices, market trends, and benchmark data; international compensation experience preferred
• Excellent analytical skills, strong attention to detail, and deep expertise in Excel and/or Google Sheets, including building and maintaining complex models
• Ability to communicate clearly and effectively across a range of audiences, including translating complex quantitative insights into practical guidance for leaders and employees
• Strong project management and organizational skills, with the ability to manage multiple high-priority initiatives in a fast-moving environment
• Strong knowledge of Workday

Preferred qualifications

• Experience using AI to build tools, automate manual work, and improve workflow efficiency
• Exposure to equity administration processes in partnership with Equity Management and/or People Operations teams

ABOUT BEZOS ACADEMY

At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two distinct ways. First, we operate a multi-state network of schools in under-resourced communities, offering quality Montessori preschool at no cost to families. Second, we invest in creating tools, products, technology, and other solutions designed to reach children well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five.

DESCRIPTION

As the Senior User Experience Researcher (UXR) for a new direct‑to‑consumer initiative at Bezos Academy, you will play a defining role in how we understand parents, families, and early learners. Focusing on parent and caregiver-facing experiences, you will uncover how software and AI can meaningfully support them and early childhood development. You will help build a new venture from the ground up by leading and executing research that directly informs product strategy and feature priorities.

You will work closely with designers, product managers, and curriculum experts to conduct studies, synthesize insights, and create shared clarity across the team. From exploration to launch and iteration, your work will guide what we build, why we build it, and how it comes to life. Your research will help ensure we are giving parents thoughtful, guided support as they navigate the early years of parenthood, with product experiences grounded in how babies, toddlers, and parents learn during the most critical years of brain development. This is an opportunity to lead our user research practices and shape a product alongside a mission‑driven team committed to meaningful impact for families and young children. More than anything, we are looking for someone excited by the opportunity to shape products at the frontier of where technology, learning science, and family life intersect.  

LOCATION

• Seattle, WA
• This role is expected to work in-person with other product team members in our office in the Eastlake neighborhood of Seattle at least two days a week.
• Relocation support is available for those willing to relocate to Seattle, WA

COMPENSATION AND BENEFITS

• This is a full-time, benefits-eligible, salaried position.
• The full salary range for this position in Seattle, WA is $161,000 - $255,000 per year. The upper third of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by qualifications and prior experience.
• This role includes 15 paid days of vacation, 4 days of paid personal time off, 9 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more. Please see here for details.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• Eight or more years of experience, including experience conducting UX research across mobile (iOS/Android) and/or web experiences, with a focus on consumer products
• Proven track record of leading UX research that directly shapes product decisions in fast-moving, ambiguous environments, with strong judgment around prioritization, rigor, selection of methods, tradeoffs, and developing product recommendations in early-stage work
• Deep expertise in qualitative research (e.g., interviews, diary studies, concept testing, usability) with the ability to integrate quantitative insights as needed
• Familiarity with product counsel to ensure user research and new product development align with legal, regulatory, and compliance requirements
• Skill in influencing cross‑functional partners and leadership, with exceptional written and oral communication
• Experience collaborating closely with designers, product managers, and engineers throughout the design and development process, including early discovery, concept development, iteration and evaluation

PREFERRED QUALIFICATIONS

• Graduate degree in a relevant field
• Experience operating as the sole or lead UX researcher in an early‑stage environment, including helping establish or scale a research practice within a small or growing team
• Experience working with parents and/or studying children ages 0–6 through user research or related fields such as early childhood education, developmental psychology, neuroscience, etc.

Please click here for a full job description. 

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

About the role

We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling.  You will play a role in defining how we estimate incrementality and how we improve performance.

The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics.  Improve the team’s technical rigor

To thrive in this role, you have

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• PhD in statistics, economics, or similar social science with emphasis on quantitative methods
• 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
• Advanced skills in SQL and Python or R.  Experience in use of AI to accelerate and improve end-to-end process

#LI-Hybrid #LI-AM1

The Role

We are seeking a Senior Frontend Mobile Engineer to join our team. SoFi Invest is SoFi’s new investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we are redefining how members grow their wealth through algorithmic trading and AI. You will build the interfaces that millions of our members use to build and invest in automated trading strategies — bringing "quant-grade" tools to the everyday investor. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key Responsibilities

• Produce well-designed, scalable, and reusable code on schedule
• Independently design and build large features, breaking work into subtasks where necessary
• Maintain a high bar in code and design reviews, following modern mobile development practices
• Drive communication across the development team and with other stakeholders
• Collaborate across functions and teams to reduce ambiguity and keep projects on track
• Track project performance against defined milestones/goals
• Mentor junior engineers throughout the organization
• Create and improve technical documentation

Requirements

• Bachelor’s degree (ideally in a technical field), but we understand great engineers come from a variety of backgrounds; we will also consider relevant work experience
• 5+ years mobile programming experience (Flutter strongly preferred)
• Familiarity with Agile-based project development in a microservices environment
• Experience with designing and consuming backend APIs for mobile applications
• Test-driven development skills
• Passion for solving complex problems
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
• Experience working in a collaborative coding environment (and git specifically), refining designs together, working through code reviews and managing pull requests
• Able to design and build modern and highly-responsive customer-facing components
• Nice to have: experience working in Fintech and/or financial services sector

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

Job Title: Assistant Project Manager
Department: Project Delivery
Reports to: Project Manager, Project Delivery or Director, Project Delivery
Location: Madison, WI
FLSA Status: Exempt

Company Overview:
OneEnergy’s mission is to make clean energy the #1 source of electricity for consumers and utilities. We develop solar energy projects across the United States in community solar, distributed generation, and large utility scale project segments. Our diverse project pipeline, multiple locations across the US, and unique multidisciplined team sets us apart. 

We are a dynamic and innovative renewable energy industry company dedicated to developing and deploying utility scale solar and community solar facilities. We are committed to excellence, collaboration, and driving positive change in our industry.

Position Objective: 
The Assistant Project Manager will be supporting the execution of projects, starting with the engineering and procurement phase, and leading up to commercial operation. Qualifying candidates will have a demonstrated track record of success in working cohesively across several project support functions including development, engineering, construction, and finance to meet scheduled project completion dates.

Responsibilities:
• Coordinating and supporting multiple project schedules, budgets, and financial requirements with competing deadlines and resources across companywide functional teams.
• Working with engineers and project managers to document product or contractor specifications and work scopes during planning stages.
• Assisting Project Manager(s) with submittal compilation, purchase orders, on-site job walk-throughs, change orders request for information, pay application support and close-out documents.
• Preparing project controls, budget setup, schedules of values/billing mechanisms, and maintain each in at the direction of the Project Manager(s).
• Providing steady and reliable communication while also managing complicated schedules, budgets, contractors, people, risks, and other resources.
• Assisting in ensuring all safety, quality, and environmental policies of the Company and project owners are followed by all project personnel.

Requirements:
• Bachelor’s degree is required, preferably in Construction Management or Engineering.
• 2+ years of experience supporting operations, engineering or construction.
• Solar engineering or construction experience preferred, but not required.
• Strong attention to detail with a high level of integrity and organizational capacity to manage multiple projects.
• Self-motivated and self -starter, with proven ability to take ownership, initiative, and accountability.
• Excellent interpersonal communication skills, both oral and written.
• Must possess strong quantitative analysis and critical thinking skills.
• Self-motivated with proven ability to take ownership, initiative, and accountability.
• Working knowledge with Microsoft Office/365 is a ‘must’, project management, and CRM software such as Salesforce a plus.
• Must have a “roll up your sleeves and let’s get the job done right” type attitude.
• Demonstrated qualities of integrity, credibility, and professional responsibility.
• Ability to travel and access sites of varying terrain. Position requires frequent travel, up to 1-2 weeks per month or about 20% of working time; must carry an active driver’s license with acceptable driving record.
• A willingness to contribute to our culture which thrives on building trust and holding one another accountable.

Compensation: $65,000-$85,000 (Exempt)

OneEnergy’s compensation packages are dependent on an array of factors including, but not limited to skill sets, experience and training, licensure and certifications, geographic location, and other organizational needs. We provide generous Paid Time Off (six weeks/year) and an impactful Volunteer Time Off Program. We offer robust employee benefits including comprehensive medical coverage, 401(k) matching retirement plan, life insurance, wellness incentives, and more.

We recognize an equitable energy transition requires the participation of diverse communities, groups, and institutions. OneEnergy is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of actual or perceived race, color, creed, religion, ancestry, citizenship status, age, sex, marital status, sexual orientation, national origin, disability or handicap, veteran status, or any other characteristic protected by applicable federal, state, or local laws.

ABOUT THE TEAM 

At Anduril, we're not just disrupting defense technology – we're revolutionizing how we value and compensate the brilliant minds behind our innovations. We're seeking a Compensation Partner who's ready to architect the future of our compensation strategy and propel Anduril to new heights.

The Total Rewards team is looking for a Compensation Partner to support Anduril’s continued hyper growth.

WHAT YOU’LL DO 

You will drive Anduril’s success by bringing your compensation expertise to our leadership team and helping us scale. Utilize and combine your prior high growth company experience, quantitative rigor, business mindset, and communication skills to serve as a strategic advisor to our People Business Partners.

• Lead compensation programs and projects, enabling Anduril to scale it’s People infrastructure.
• Guide People Business Partners and leadership teams throughout our compensation planning cycles through calibration sessions and identifying compensation remedies.
• Design, implement, and manage comprehensive compensation programs, including salary structures, incentive plans, and equity compensation, aligned with organizational strategy and market trends
• Lead job evaluation processes, conduct market pricing analyses, and ensure internal equity and external competitiveness across all job families and levels
• Partner closely with leadership and HR teams to resolve complex compensation issues, support strategic decision-making, and drive the implementation of compensation initiatives across the organization
• Work closely with our People Business & Talent Acquisition Partners on how to navigate compensation issues & offers, calibration sessions, analyze compensation data and create materials for managers and employee trainings.
• Lead change management and communications of compensation practices with managers, team members, and across the People Team.
• Spearhead Anduril’s compensation philosophy and strategy as related to the growth of our company.
• Build strong partnerships with the People Business Partner, Talent, Legal, Stock, Finance and Accounting teams as well as our 3rd party vendors.
• You’re a proactive motivated problem solver; offering to fill skill gaps and offer solutions; we'd rather tell you slow down than accelerate
• You enjoy working at a place where no one minds if you leave early one day to go to an appointment or run an errand, but you also don’t mind responding to Slacks in the evening while you’re watching Netflix.

REQUIRED QUALIFICATIONS 

• 6+ years of experience working in Compensation in roles.
• Experience with job architecture, levelling guides and market analytics to ensure competitive compensation practices.
• Experience working with internal stakeholders and executive leadership
• Strong analytical skills with the ability to translate data and trends into key insights and recommendations
• Proven ability to track, prioritize and drive to success multiple projects with a strong operational background.
• Passionate about educating, mentoring and teaching partners the values and business impact behind compensation strategies
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS 

• Prior experience in a high growth, hyper scaling startup building compensation programs from the ground up.
• Prior experience leading compensation programs initiatives in a matrix-led organization
• Prior experience includes mergers & acquisitions, talent acquisition strategy, and executive compensation knowledge is highly desired.

ABOUT THE TEAM

Anduril Engineers in the Connected Warfare (CW) Division work across disciplines to build, deploy, integrate, extend, and scale Anduril's software and hardware systems to deliver mission-critical capabilities to our customers at the tactical edge. As the engineers closest to customers/end-users, ECC Tactical Network Engineers are designed to solve technical challenges of operational scenarios while owning the end-to-end delivery of new capabilities from zero to one.

As a Tactical Network Engineer on the Edge Compute and Comms (ECC) Engineering team, you will combine industry-leading commercial communications technologies with legacy military radio systems to rapidly prototype and create new products and solutions to address a wide variety of customer problems involving software, hardware, networking, autonomy/robotics, systems integration, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril and third-party products seamlessly work together to achieve a variety of critical outcomes.

Above all, ECC Engineers are driven by a "Whatever It Takes" mindset—executing in an expedient, scalable, and methodical way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality. You will work on new technology introduction and enhancing products like the Menace Family of Systems to bring integrated C4 (Compute, Comms, Command, and Control) capabilities to the tactical edge.

Our C4 systems must function in highly dynamic and adversarial DDIL (Denied, Degraded, Intermittent, Limited) environments where nodes have varying states of link quality & availability, have frequently changing network topologies and are under constant threat of interference ranging from electronic warfare to physical destruction. In addition, our assets are deployed to austere combat zones which do not have the well-developed network infrastructure which most network solutions rely on. Our challenge is to provide networking software and hardware systems that provide reliability, resilience, speed and security in these challenging environments.

WHAT YOU’LL DO

• Integrate emerging networking capabilities, bringing new hardware and software products into the Menace family of systems
• Contribute to networking requirements decomposition across cross-functional teams, helping define success in the face of ambiguity
• Design network topologies and configurations decomposed from complex design reference missions (DRMs) involving large scale unmanned systems and forward-deployed C2 systems
• Design, implement, deploy, and troubleshoot system networking solutions focused on Layer-1 (Physical), Layer-2 (Data), Layer-3 (Network), and Layer-4 (Transport) of the Open Systems Interconnection (OSI) reference model, and that meet and exceed industry-standard security goals
• Own systems end to end with the ability to identify and solve networking problems between the seams, scrutinize system performance, make tradeoffs, and deliver an outcome
• Perform trade-off studies of different comms and networking solutions including government provided technologies
• Build robust tooling for benchmarking and analyzing network traffic
• Analyze test network infrastructure, develop recommendations, and implement improvements for network reliability and throughput for edge network
• Collaborate extensively with software engineers to build a representative modeling and simulation environment including hardware-in-the-loop lab infrastructure
• Analyze network packet data to identify anomalous behavior, potential security threats, and communication inefficiencies across diverse tactical network deployments

REQUIRED QUALIFICATIONS

• Must possess an active U.S. security clearance, secret or higher
• 5+ years of hands-on experience in tactical networking or related fields
• Understanding of empirical testing criteria leveraging both quantitative and qualitative criteria for trade study and hardware/software analysis.
• Experience applying engineering standards to engineering processes or requirements
• 2-5 years expertise in tactical LOS and BLOS RF systems
• 3+ years experience with ad-hoc mesh networking, secure communication protocols (IPSec/MACSec, etc), software-defined networking, internet protocols (TCP/IP, DNS, etc), and routing protocols
• Experience with commercial SDWAN solutions
• Demonstrated experience collaborating across cross-functional teams.
• Comfortable working with ambiguity, evolving priorities, and challenging problems
• Excellent communication and presentation skills
• Experience with mesh networking radios
• Experience with network modeling and simulation tools and frameworks
• Must be willing to travel for test field events up to 40%
• Experience with network traffic analysis tools and PCAP analysis (e.g., Wireshark, tcpdump, NetworkMiner)
• Proficiency in analyzing network protocols and packet structures to diagnose communication issues in tactical environments

PREFERRED QUALIFICATIONS

• Expertise in these specific tactical ship-to-ship and ship-to-shore comms
  • SatCom
  • VHF + UHF
  • LPI/LPD and anti-jamming
  • MIMO
  • Antenna theory
• Expertise in Cloud Networking
• Expertise in Cybersecurity
• 3+ years experience with programming languages such as Python, C/C++, or Rust for analysis and simulation
• Experience with electronic warfare (EW) technologies
• Experience with spectrum management and deconfliction
• Experience developing custom PCAP analysis tools or scripts for specialized network environments

ABOUT THE TEAM

Our Edge Compute and Communications business line, within the Connected Warfare division, delivers robust, high-performance computing and secure communications solutions directly at the tactical edge. By processing data in real-time and enabling decentralized decision-making, we empower warfighters with actionable intelligence, rapid connectivity, and unparalleled situational awareness in challenging environments.

Connected Warfare is one of Anduril's Business Lines focused on building a next-gen software-defined distributed C2 architecture focused on orchestrating and automating 3rd party combat-fielded sensors and strike-networks for synchronized joint operations. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

ABOUT THE JOB

We’re seeking a Technical Program Manager to ensure interoperability and integration of our software and hardware across our Menace product line. You will also have the opportunity to work on net new products, ideating on prototypes and take to market strategies. This role requires a unique blend of technical expertise, program management experience, customer focus, and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Able to inspire, influence and drive the engineering execution of multiple teams. Gain alignment within the team and regularly with other teams/stakeholders involved with the product/program
• Effectively communicate within engineering teams, manipulating PM tools (e.g. JIRA, Confluence) to organize and run multiple teams' sprints/regular execution cadence and ensure the teams understand how their work connects to higher level milestones. Generate and speak to planning artifacts and high-level engineering artifacts for multiple teams. Succinctly message progress, risks, and mitigations to team-adjacent leadership/stakeholders
• Understand the architecture and positively influence engineering decisions of multiple products or functional areas. Able to engage with cross-functional teams (e.g. SW, HW, T&E, Product)
• Act in a leadership role for the team and coordinate closely with leaders or cross-functional stakeholders. Create clear understanding within the team, and with cross-functional stakeholders, about team and program goals/milestones
• Discover inefficiencies in team operations and develop durable solutions to improve the day-to-day life of developers. Build and manage 6-12 month roadmaps, creating clear milestones utilizing inputs from cross-functional stakeholders
• Routinely engage with external stakeholders to surface and clarify pain points and solve problems related to operating prototypes. Deploy and support prototypes in the field at customer events
• Regularly assist and teach other engineers, act as legacy SME
• Keep up to date with industry technologies and identify technologies that would be applicable to defense problems

REQUIRED QUALIFICATIONS

• Minimum 5 years experience as a Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology or aerospace and defense company
• Strong technical background with familiarity in systems engineering, software development, networking, and hardware engineering
• Experience shepherding complex technical projects from concept to prototype to full-rate production
• Ability to work within organizations with minimal structure and with minimal direction
• Proven client-facing technical program management and/or systems engineering experience
• Demonstrated ability to translate complex technical issues into business-impact insights
• Experience with Agile methodology
• Exceptional organizational and communication skills
• Willingness to travel as needed (up to 30%)
• Active U.S. Secret clearance

PREFERRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years experience designing and developing software
• PMP Certification
• Experience in UX design or related field with a focus on complex systems or products.
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Familiarity with a defense acquisition processes, compliance, and reporting requirements
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Active U.S. Top Secret clearance

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled Order to Cash (OTC) Product Manager to join our team. You will be responsible for designing, developing, implementing, and driving adoption of our ERP’s capabilities to ensure Anduril is successful for the near and long term. You will collaborate with cross-functional teams spanning engineering, supply chain, operations, manufacturing, accounting, finance, and more to understand the business needs, design solutions, and ensure our systems are aligned with the company's goals and objectives.

WHAT YOU'LL DO:

• Empower Order to Cash (Customer Inquiries/Quotes, Pricing, Order Mgmt & Fulfillment, Invoice Mgmt & Payment Processing) processes across the enterprise and enable growth through differentiated products.
• Understand E2E business processes and enabling business systems products to set roadmap strategy for continuous improvement and changing customer needs.
• Act as an advocate for our OTC stakeholders and leverage customer insights to build out product vision, strategy and roadmap.
• Translate your OTC roadmap into actionable plans by crafting comprehensive capability/feature descriptions and user stories that are digestible by business and tech teams.
• Influence and negotiate prioritized delivery across various technology product teams to deliver continuous improvement/next gen products to our Order to Cash value stream.
• Act as a business systems product evangelist and thought leader by understanding product capabilities across our ecosystem, aligning our business partners around best practices and delivering fit for purpose value stream solutions.
• Analyze quantitative and qualitative data to identify root cause of issues to determine the opportunity size and business impact.
• Partner with vendors and third-party service providers to integrate system tools and product solutions into the company's ecosystem.
• Collaborate with internal product development teams to build out custom solutions if we decide to build rather than buy.
• Develop total cost of ownership (TCO) for each product/tool, drive cost-benefit, return on investment, and NPV analyses to support decision making.
• Contribute to business systems product or technical knowledge assets by documenting all existing/new features, capabilities of our value-stream solutions.
• Support and deliver enterprise model product training to SMEs as needed.

REQUIRED QUALIFICATIONS:

• 10+ years of experience in designing, developing, and implementing business processes ERP solutions at manufacturing companies (Aerospace & Defense industry preferred).
• Structured Communication – our product manager must communicate across a broad range of functions and within several levels in the organization.
• Business Acumen – our product manager must have a deep understanding of Order to Cash, Logistics as well as a fundamental understanding of, Manufacturing, Operations and Finance/Accounting functions.
• Problem Solving – our product manager will formulate recommendations and strategies using fact-based analysis and proven methodologies, such as systems thinking, five whys, decision trees, etc.
• Proven track record of partnering with stakeholders while employing a high degree of collaboration and influence.
• Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• Deep and broad expertise with cloud-based ERPs and CRMs (Oracle Fusion, SAP S4 Hana, NetSuite, Salesforce)
• U.S. Person status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled Order to Cash (OTC) Product Manager to join our team. You will be responsible for designing, developing, implementing, and driving adoption of our ERP’s capabilities to ensure Anduril is successful for the near and long term. You will collaborate with cross-functional teams spanning engineering, supply chain, operations, manufacturing, accounting, finance, and more to understand the business needs, design solutions, and ensure our systems are aligned with the company's goals and objectives.

WHAT YOU'LL DO:

• Empower Order to Cash (Customer Inquiries/Quotes, Pricing, Order Mgmt & Fulfillment, Invoice Mgmt & Payment Processing) processes across the enterprise and enable growth through differentiated products.
• Understand E2E business processes and enabling business systems products to set roadmap strategy for continuous improvement and changing customer needs.
• Act as an advocate for our OTC stakeholders and leverage customer insights to build out product vision, strategy and roadmap.
• Translate your OTC roadmap into actionable plans by crafting comprehensive capability/feature descriptions and user stories that are digestible by business and tech teams.
• Influence and negotiate prioritized delivery across various technology product teams to deliver continuous improvement/next gen products to our Order to Cash value stream.
• Act as a business systems product evangelist and thought leader by understanding product capabilities across our ecosystem, aligning our business partners around best practices and delivering fit for purpose value stream solutions.
• Analyze quantitative and qualitative data to identify root cause of issues to determine the opportunity size and business impact.
• Partner with vendors and third-party service providers to integrate system tools and product solutions into the company's ecosystem.
• Collaborate with internal product development teams to build out custom solutions if we decide to build rather than buy.
• Develop total cost of ownership (TCO) for each product/tool, drive cost-benefit, return on investment, and NPV analyses to support decision making.
• Contribute to business systems product or technical knowledge assets by documenting all existing/new features, capabilities of our value-stream solutions.
• Support and deliver enterprise model product training to SMEs as needed.

REQUIRED QUALIFICATIONS:

• 10+ years of experience in designing, developing, and implementing business processes ERP solutions at manufacturing companies (Aerospace & Defense industry preferred).
• Structured Communication – our product manager must communicate across a broad range of functions and within several levels in the organization.
• Business Acumen – our product manager must have a deep understanding of Order to Cash, Logistics as well as a fundamental understanding of, Manufacturing, Operations and Finance/Accounting functions.
• Problem Solving – our product manager will formulate recommendations and strategies using fact-based analysis and proven methodologies, such as systems thinking, five whys, decision trees, etc.
• Proven track record of partnering with stakeholders while employing a high degree of collaboration and influence.
• Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• Deep and broad expertise with cloud-based ERPs and CRMs (Oracle Fusion, SAP S4 Hana, NetSuite, Salesforce)
• U.S. Person status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled Order to Cash (OTC) Product Manager to join our team. You will be responsible for designing, developing, implementing, and driving adoption of our ERP’s capabilities to ensure Anduril is successful for the near and long term. You will collaborate with cross-functional teams spanning engineering, supply chain, operations, manufacturing, accounting, finance, and more to understand the business needs, design solutions, and ensure our systems are aligned with the company's goals and objectives.

WHAT YOU'LL DO:

• Empower Order to Cash (Customer Inquiries/Quotes, Pricing, Order Mgmt & Fulfillment, Invoice Mgmt & Payment Processing) processes across the enterprise and enable growth through differentiated products.
• Understand E2E business processes and enabling business systems products to set roadmap strategy for continuous improvement and changing customer needs.
• Act as an advocate for our OTC stakeholders and leverage customer insights to build out product vision, strategy and roadmap.
• Translate your OTC roadmap into actionable plans by crafting comprehensive capability/feature descriptions and user stories that are digestible by business and tech teams.
• Influence and negotiate prioritized delivery across various technology product teams to deliver continuous improvement/next gen products to our Order to Cash value stream.
• Act as a business systems product evangelist and thought leader by understanding product capabilities across our ecosystem, aligning our business partners around best practices and delivering fit for purpose value stream solutions.
• Analyze quantitative and qualitative data to identify root cause of issues to determine the opportunity size and business impact.
• Partner with vendors and third-party service providers to integrate system tools and product solutions into the company's ecosystem.
• Collaborate with internal product development teams to build out custom solutions if we decide to build rather than buy.
• Develop total cost of ownership (TCO) for each product/tool, drive cost-benefit, return on investment, and NPV analyses to support decision making.
• Contribute to business systems product or technical knowledge assets by documenting all existing/new features, capabilities of our value-stream solutions.
• Support and deliver enterprise model product training to SMEs as needed.

REQUIRED QUALIFICATIONS:

• 10+ years of experience in designing, developing, and implementing business processes ERP solutions at manufacturing companies (Aerospace & Defense industry preferred).
• Structured Communication – our product manager must communicate across a broad range of functions and within several levels in the organization.
• Business Acumen – our product manager must have a deep understanding of Order to Cash, Logistics as well as a fundamental understanding of, Manufacturing, Operations and Finance/Accounting functions.
• Problem Solving – our product manager will formulate recommendations and strategies using fact-based analysis and proven methodologies, such as systems thinking, five whys, decision trees, etc.
• Proven track record of partnering with stakeholders while employing a high degree of collaboration and influence.
• Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• Deep and broad expertise with cloud-based ERPs and CRMs (Oracle Fusion, SAP S4 Hana, NetSuite, Salesforce)
• U.S. Person status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our bottom-up approach to projects and collaborative coding environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are always seeking highly motivated and skilled Software Engineers across many different teams at HRT. These roles demand exceptional programming fundamentals, sharp debugging abilities, and strong critical thinking and communication skills. Engineers at HRT work on a wide variety of platform and trading-adjacent projects. Examples include:

• Improving scheduling efficiency of distributed computations, speeding up research iteration.
• Enhancing developer experience through language tooling, jupyter extensions, and AI tools.
• Leveraging LLMs to make operational support tasks faster and more efficient.
• Profiling computer usage at all levels, from system calls to large scale distributed computations.
• Building systems to interact with trading venues and monitor risk.

Responsibilities

• Design, develop, and maintain robust, efficient, and scalable software systems.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Contribute to all phases of the software development lifecycle, from ideation to deployment and support.
• Deliver exceptional experiences for internal users; your success will be directly tied to your ability to understand the needs of the people around you and apply your technical skills to efficiently meet them.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with applications of cutting-edge technology is preferred; being a core contributor to said technology is even better.
• Candidates should be prepared for technical interviews in Python. While there is no hard language requirement for these roles, proficiency in one this language will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is seeking a Technical Recruiter to join our global Recruiting team. In this role, you will focus on hiring best-in-class engineers to expand our global compute platform. You will build out market maps, engage with deeply technical candidates, and manage the end-to-end hiring process for niche, high-impact engineering roles. 

HRT is one of the top quantitative trading firms in the world. We have built one of the world’s most sophisticated computing environments for quantitative research and development, with incredibly large GPU and CPU compute clusters (larger than most national labs). Our research cluster is the backbone of our success, and we have ambitious plans for future expansion. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

Responsibilities 

• Partner directly with engineering leadership on compute recruitment strategy, and be a proactive and consultative strategic partner to hiring managers 
• Manage the end-to-end hiring pipelines, from first outreach through offer acceptance, for compute team growth
• Provide a high-touch, white-glove candidate experience tailored to senior and hard-to-hire technical profiles 
• Develop deep knowledge of HRT’s compute development ecosystem 
• Conduct market research and talent mapping projects to identify top technical talent, uncover candidate trends, and complete competitor analyses
• Attract passive candidates using creative sourcing methods (open-source community involvement, network building, direct outreach, referrals) to build and maintain talent pipelines for current and future hiring needs 

Qualifications: 

• 7+ years of full life cycle technical recruiting experience 
• Bachelor’s degree 
• Proven success recruiting in specialized technical domains 
• Strong talent mapping capabilities—comfortable researching companies, org structures, roles, and skills in depth.
• Data-driven mindset with experience using recruiting analytics to guide strategy 
• Excellent cross-functional verbal and written communication skills 
• A passion for building technical teams and delivering outstanding candidate experience 
• Familiarity with the compute landscape; open-source communities, engineering conferences, or niche technical hiring channels preferred, but not required  

The estimated base salary range for this position is 170,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is a leading quantitative trading and investment firm specializing in multi-asset class strategies. At the core of our success lies the power of our compute cluster, the foundation where all our trading strategies are conceived and refined.

We’re looking for innovative minds to enhance the data storage libraries and tools leveraged by our Research teams to generate cutting-edge strategies. As a Storage Developer, you’ll dive deep into C++ and advanced storage solutions, working at massive scale to enable groundbreaking research. Surrounded by a team of exceptional developers constantly pushing the boundaries of their expertise, you’ll be amazed at the impact you can achieve.

Profile

• You’re able to talk both high-level distributed systems design trade-offs and low-level OS-level details
• You’re able to balance being detail-oriented with good prioritization of what matters now vs. later
• You thrive in collaborative environments and have a strong sense of ownership
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related

Responsibilities

• Work with a small team of skilled developers to create distributed storage systems customized to fit HRT’s needs
• Stay informed about the current “state of the art” and help bridge the gap between here and there
• Understand our Research team’s storage and compute needs, and build for the next generation of research

Qualifications 

• Proficient C++ experience is required, daily use preferred 
• Distributed systems experience required (ability to reason about fault tolerance, sharding, trade-offs, and designing for simplicity and robustness under failure) 
• Previous experience developing databases, distributed filesystems, search infrastructure, or similar ideal but not required 
• Ability to work productively in a Linux environment
• Knowledge of UNIX operating systems, low-level systems-level performance issues, and networking

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

• Ensure HRT’s research environment is best in class, with a focus on user workloads
• Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
• Optimize workloads at the user level to speed up user iteration speed
• Tune workloads at the infrastructure level to make them more resource-efficient
• Share metrics and real-time information with users to give insight into workload behavior
• Sit down with users to understand their specific technical needs
• Contribute individually and through leadership and coordination of the above
• Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Strong C++ expertise (daily use preferred)
• Python familiarity preferred
• Experience collaborating closely with quantitative researchers and traders to understand their needs
• Great communication capabilities
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for a Senior Software Engineer to focus on our Treasury Infrastructure. Coders at HRT work on small, highly productive, and efficient teams that design, improve, and maintain the technology that powers worldwide trading — at HRT, the code you write is our business. You’ll have an opportunity to work closely with Treasury Quantitative Researchers and our Funding Team to design and develop HRT's Treasury Optimization and Research Platform.

We are looking for highly skilled programmers who love to code and solve complex problems, appreciate a culture of collaboration, and thrive in a performance-driven environment. You can always expect to be challenged by the ever-changing financial markets, and find yourself working on critical software in an extremely fast-paced, real-time environment.

Responsibilities

• Contribute to the engineering design and development of HRT’s Treasury Optimization Platform.
• Collaborate with Treasury Researchers on HRT’s Treasury Research Infrastructure.
• Collaborate with Quantitative Developers as well as our Funding and Finance teams on managing cash and collateral requirements.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Working experience in Python and good CS fundamentals.
• Proficiency with numerical computing libraries (Numpy, PyTorch, TensorFlow) is a plus.
• Knowledge of global portfolio financing and funding is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication skills and ability to collaborate with engineers, researchers, and non-technical teams.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Campus Recruiter to join our Recruiting team in Seattle. We are looking for an ambitious and results-oriented Campus Recruiter to build and scale HRT’s campus talent strategy. In this role, you’ll focus on building deep, long-term relationships with students and universities to ensure HRT consistently connects with the strongest emerging technical talent.

If you love owning initiatives from start to finish, providing a high-touch, white-glove experience, and have a passion for campus recruiting, we want to meet you! 

Responsibilities

• Campus Strategy: Identify and continually evaluate target schools; develop and refine campus recruiting strategies to secure top technical talent; maintain familiarity with relevant university curricula and course offerings
• University Relations: Identify and establish relationships with key campus stakeholders, including faculty, career centers, and student organizations
• Recruiting Events: Own end-to-end planning and execution of on-campus recruiting events, from strategy and registration through day-of execution and follow-up
• Sourcing & Engagement: Develop and execute a robust sourcing strategy to identify and engage high-potential students early in their academic careers through targeted talent mapping, personalized relationship-building, and ongoing keep-warm engagement campaigns
• Marketing & Branding: Promote campus recruiting initiatives and identify opportunities to strengthen HRT’s on-campus brand
• Travel & Representation: Travel frequently to campuses to host info sessions, networking events, and targeted outreach initiatives, serving as an authentic point of contact for students

Qualifications

• 3+ years of full lifecycle recruiting with strong exposure to hiring technical talent in tech and/or the quantitative finance industry
• Experience planning and executing recruiting and networking events
• Experience creating and executing sourcing strategies to identify students 
• Deep understanding of recruiting pipelines for highly selective, technical, or academic talent
• Demonstrated experience building and maintaining strong relationships with universities, faculty, career centers, and student organizations.
• Strong proficiency with ATS and CRM platforms, plus experience working with analytics/reporting tools
• Exceptional organizational, communication, and stakeholder management skills
• Analytical thinker with a process-oriented mindset and keen attention to detail
• Ability to thrive in a fast-paced environment

The estimated base salary range for this position is 140,000 to 180,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation in global financial markets. We build and deploy cutting-edge systems within one of the world’s most sophisticated computing environments for large-scale research and trading. Our research cluster is the backbone of our success—an HPC environment with GPU and CPU fleets larger than many national labs—and our people are our most important differentiator.

We are seeking a Hardware Strategy & Technology Partnership Lead to bridge the gap between hardware engineering and the technology supply chain. In this role, you will be the primary architect of HRT’s relationships with OEMs, ODMs, and silicon vendors. The ideal candidate understands the CSPs’ business models and how they differentiate, and possesses the expertise to navigate both the bare-metal world and the hyper-scaler ecosystem to ensure HRT always has a competitive edge in compute power and efficiency. You understand the "chip and server" business at a molecular level—not just what an R200 GPU or a Venice processor can do, but how the supply chain, the margins, and vendor roadmaps dictate the industry’s future.

Responsibilities

• Strategic Relationship Management: Lead HRT’s primary relationships with top-tier silicon (CPU/GPU/Storage), server and cloud vendors. Partner with their engineering and product teams to influence roadmaps and secure early access to next-gen tech.
• Vendor Negotiations: Own the end-to-end commercial and technical negotiation process. Leverage your deep understanding of BOM (Bill of Materials) costs and industry margins to drive the best outcomes for HRT’s global infrastructure.
• Supply Chain Intelligence: Act as our internal "SemiAnalysis/SemiAccurate" equivalent. Stay ahead of industry trends, tracking foundry shifts, packaging innovations, and geopolitical impacts on the hardware market to advise our leadership on long-term strategy. Help us decide when to build, when to go to the cloud, and how to optimize our footprint across global data centers.
• Cross-Functional Collaboration: Work side-by-side with our R&D and Trading Tech engineers and data center teams to deeply understand HRT's technology and business, and translate that knowledge into long-term strategic and acquisition planning.

Qualifications

• Deep Industry Knowledge: You have a "feet on both sides" profile, with a background that likely includes time at a major hardware vendor, a hyper-scaler, or a top-tier industry research firm.
• Technical Fluency: You can talk shop with hardware engineers about PCIe lanes, memory bandwidth, and thermal envelopes, but you can also walk into a boardroom and negotiate a multi-million dollar master purchase agreement.
• Market Strategy: You have a proven track record of solving complex infrastructure needs for large-scale compute environments.
• Entrepreneurial Spirit: You are a self-starter who is motivated by the excitement of being at the cutting edge of automation and hardware efficiency.

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000-300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

About Us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

About the Role

At Grow, we are building products that support people’s mental health and overall wellbeing. We believe meaningful research is critical to creating experiences that are not only usable, but genuinely helpful and human-centered.

We’re looking for a mid-level User Experience Researcher who is comfortable working across qualitative and quantitative methods and thrives in ambiguous, fast-moving environments. You’ll partner closely with Product, Design, and Business teams to uncover insights that shape strategy, inform design, and improve user outcomes.

This role is ideal for someone who is passionate about understanding people, curious about the intersection of technology and mental health, and motivated to advocate for users in impactful ways.

What You’ll Do

• Design and execute end-to-end research using a mix of methods (e.g., interviews, usability testing, surveys, focus groups, field studies)
• Develop and prioritize research plans in partnership with product and business teams
• Conduct studies that uncover both user behaviors and attitudes
• Synthesize findings into clear, actionable insights that inform product strategy and design decisions
• Communicate research outcomes through compelling storytelling, presentations, and deliverables
• Collaborate cross-functionally with Product, Design, Content, Engineering, and Marketing to guide decision-making
• Advocate for users by bringing their needs and perspectives into product development
• Navigate ambiguity and manage multiple projects in a fast-paced environment
• Promote inclusive, ethical research practices, especially within the mental health space

What We’re Looking For

• 5–8+ years of experience in UX research, product research, or a related field
• Mixed method researcher with strong experience in qualitative and quantitative research methods
• Proven track record of conducting research that has influenced product, design, or growth decisions
• Ability to move between evaluative (tactical) and generative (strategic) research
• Experience working cross-functionally in product-driven environments
• Strong communication and storytelling skills to influence diverse stakeholders

You’ll Be a Great Fit If You

• Thrive in collaborative, high-growth environments and enjoy helping teams make better decisions
• Are deeply curious and care about people and their experiences, and motivated to solve complex user problems, especially in mental health, healthcare, or multi-sided platforms
• Are comfortable navigating ambiguity and shaping direction in fast-changing environments
• Balance research rigor with pragmatism to drive efficient, impactful outcomes
• Bring a strong point of view while remaining adaptable and grounded in evidence
• Are motivated by impact and want your work to make a meaningful difference

Why Grow

• Work on products that directly impact mental health and wellbeing
• Collaborate with a team that values diverse perspectives and inclusive research
• Help shape how research drives decisions in a growing organization
• Contribute to building more human, ethical, and supportive technology
  
  

  Employment Type: Full Time
  Base Compensation: The base compensation range for this position is $182,000–$227,000 USD
  This is a hybrid role with the expectation to work onsite from our NYC, San Francisco, or Seattle hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).
  The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

The Opportunity:

Grow Therapy is seeking a Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will lead cross-functional, data-driven initiatives and drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop and own marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will shape product strategy, experimentation, and long-term investment decisions across the company.

What You’ll Be Doing:

• Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences.
• Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features.
• Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights.
• Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions.
• Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience.

You’ll Be a Good Fit If:

• 8+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment, including leading high-impact, cross-functional data science or analytics initiatives.
• Fluent in SQL and Python, with deep experience designing A/B tests, building models, and setting a high bar for translating complex data into clear recommendations for stakeholders at all levels.
• Proven experience owning and driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics, and doing so through influence as well as hands-on work.
• Comfortable navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy, and aligning multiple teams around shared metrics and insights.
• Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients.

Role Details:

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is:

• Hybrid Commitment: $200,000–$250,000 USD USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites).

The Opportunity:

Grow Therapy is seeking a Senior/Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will directly influence product strategy, experimentation, and long-term investment decisions across the company.

What You’ll Be Doing:

• Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences.
• Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features.
• Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights.
• Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions.
• Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience.

You’ll Be a Good Fit If: 

• 5+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment.
• Fluent in SQL and Python, with experience designing A/B tests, building models, and translating complex data into clear recommendations.
  Experience driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics.
• Comfort navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy.
• Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients.

Role Details:

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is:

• Hybrid Commitment: $182,000–$228,000 USD USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites).

The Role

SoFi is looking for a data-driven and user-centric Senior Product Manager to help shape the future of digital home lending. In this role, you will own and evolve the end-to-end home loan experience across our digital funnel, defining product strategy and delivering differentiated member experiences that drive growth and set SoFi apart in the market.

This role is pivotal in transforming how members discover, apply for, and complete their home loan journey with SoFi. You will pair strong product instincts with rigorous experimentation to remove friction, unlock conversion, and bring innovative functionality to market that raises the bar for modern home lending.

The ideal candidate is a growth-minded builder who thrives at the intersection of user experience, product strategy, and disruptive innovation. You will work closely with engineering, design, data science, user research, marketing, operations, finance, risk, legal, compliance, and executive teams to define and prioritize the roadmap, while bridging technical and business worlds to deliver meaningful customer and business impact.

You will be expected to set ambitious goals, sweat the details, and deliver with urgency.

What you’ll do

• Define and execute a product vision that brings differentiated innovation to market and helps set a new standard for digital home lending.
• Own and prioritize the product backlog for your engineering squad, writing detailed requirements and partnering closely with developers to deliver iteratively against both near-term opportunities and long-term strategy.
• Own instrumentation and data for your products to drive deep understanding, sharper product decisions, and new growth opportunities.
• Lead experimentation to accelerate learning, uncover member insights, and drive measurable customer and business impact.
• Identify and launch new functionality that reduces friction, improves application completion, and further differentiates SoFi’s home loan offering from competitors.
• Collaborate cross-functionally across engineering, design, data science, marketing, operations, legal, compliance, capital markets, and executive leadership to translate customer needs and market opportunities into product strategy and execution.
• Operate in a fast-paced agile environment, making clear trade-offs and decisions to move quickly while maintaining focus on bigger strategic outcomes.
• Be a champion of SoFi’s values.

What you’ll need

• Bachelor’s degree or higher, ideally in a technical, finance, or quantitative field
• 3+ years of product management experience
• Experience developing and launching features across both 1st and 3rd party platforms, while consistently prioritizing a high-quality user experience
• Superior communication skills, written and verbal. Experience presenting to executive leadership
• Experience delivering quality software that solves business and user needs
• Strong analytical and data-driven mindset; able to dive into financial and operational metrics
• Experience owning end-to-end product delivery, from discovery through launch and iteration
• High bias for action, strong ownership, and comfort operating in ambiguous, fast-moving cross-functional environments
• Passion for your users! You do right by them, always
• Ability to work with remote teams

Nice to have

• Experience with hypothesis-based product experimentation
• Experience speaking to actual users, empathizing with them and gathering insights, and translating those insights into meaningful product enhancements
• Experience in the Fintech space

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience:

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience:

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience:

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

About the role

We are seeking a Strategic Finance partner to join our Finance team at Anthropic, focused on operating expenses (OpEx) with a primary partnership across our Engineering organization. In this role, you will be the financial partner to engineering leaders — helping them make smart, well-informed decisions about headcount, vendor spend, tooling, and the operational investments that fuel our research and product work. As we continue to grow rapidly, you will play a crucial role in shaping how we plan, allocate, and steward OpEx across the company.

You'll build driver-based models that tie vendor and tooling spend to the underlying technical inputs (usage, seats, throughput, capacity), and you'll be expected to engage substantively with engineering leaders on the technical realities behind those drivers — and to push back with conviction when the numbers don't add up. The strongest partners on this team aren't order-takers; they ask sharp questions, challenge assumptions, and help engineering leaders land on better decisions than they'd reach alone. If you're excited about getting close to the technology, holding your ground in a debate with a thoughtful engineering leader, and helping a fast-growing AI company invest its resources well, we'd love to hear from you.

Key responsibilities

• Serve as the primary finance partner to Engineering leaders, providing guidance and recommendations on vendor and tooling spend, and resource allocation decisions.

• Build and maintain driver-based financial models for engineering OpEx — tying vendor and tooling spend to the underlying technical drivers (usage, seats, throughput, capacity, utilization) rather than top-down growth assumptions

• Develop a deep understanding of the engineering tooling and vendor stack so you can engage substantively with technical leaders on what's driving spend and where it's headed

• Lead budgeting, forecasting, and long-range planning for the engineering organization, partnering with leaders to translate roadmaps into resource plans

• Push back constructively on assumptions, proposals, and forecasts — bringing data, sharp questions, and clear reasoning to help engineering leaders land on better decisions

• Prepare clear, concise financial reports, analyses, and variance commentary that highlight key trends, risks, and opportunities for engineering and finance stakeholders

• Establish reporting dashboards and scorecards that track engineering headcount, vendor spend efficiency, and other key operational metrics

• Drive analyses on build-vs-buy decisions, vendor consolidation, contract negotiations, and organizational design tradeoffs where finance can sharpen engineering decision-making

• Partner cross-functionally with Strategic Finance, FP&A, Accounting, Recruiting, and People teams to ensure engineering plans are aligned with broader financial strategy

• Participate in resource allocation exercises to ensure clarity around headcount prioritization

Minimum qualifications

• Have experience in FP&A, OpEx or G&A finance preferably at high-growth technology companies

• Have demonstrated experience building driver-based financial models — tying spend to operational and technical inputs rather than top-down growth rates

• Are comfortable with technical concepts and have a genuine interest in understanding the systems, tools, and infrastructure behind the line items you're modeling

• Have a track record of pushing back constructively on senior stakeholders — bringing data and clear reasoning to disagreements rather than deferring to the loudest voice in the room

• Demonstrate excellent communication and storytelling abilities, with experience presenting to C-suite executives and board members

• Have a bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines

• Thrive in fast-paced, dynamic environments and can navigate ambiguity with confidence

• Possess strong collaboration skills and can build effective partnerships across functions and levels

• Are passionate about Anthropic's mission to build safe, beneficial AI systems

Preferred qualifications

• Have experience at a high-growth technology company or startup

• Possess expertise with modern financial planning tools (e.g., Anaplan, Pigment)

• Have direct experience partnering with Engineering, R&D, or other technical organizations as a finance business partner

• Have hands-on experience modeling vendor spend with technical drivers — cloud/SaaS usage, seat-based tooling, observability and data infrastructure costs, etc.

• Possess a technical background or coursework (CS, engineering, quantitative field) or comparable self-taught fluency

• Have experience leading headcount planning and workforce modeling at scale

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally.

About the role

This position is ideal for a highly analytical finance professional who thrives at the intersection of infrastructure, energy, and capital markets. The Senior Associate will collaborate closely with cross-functional teams across the organization (commercial, technical and legal) to facilitate origination, structure contracts, optimize project economics, and execute complicated and multi-party capital financing transactions to support TNC’s execution.

Responsibilities

• Financial Modeling & Analysis
  • Build and maintain detailed project-level and portfolio financial models incorporating capital costs, operating assumptions, and financing terms.
  • Perform scenario and sensitivity analyses to evaluate key drivers of project economics and risk-return profiles.
  • Support valuation of structured financing transactions including sponsor equity, tax equity, project debt, and public-private partnerships.
• Transaction Support
  • Support the execution of complex project finance transactions, including due diligence, documentation review, and coordination with internal and external stakeholders.
  • Prepare investment materials, term sheets, and presentation decks for internal leadership, lenders, and investors.
  • Conduct market and comparable analysis to benchmark financing terms and support negotiation strategy.
• Strategic Collaboration
  • Partner with cross-functional teams (Legal, Development, Engineering, and Government Affairs) to align financing structures with technical, regulatory, and policy objectives.
  • Closely coordinate with FP&A to assess impact of project-level economics in TNC’s corporate financial plan.
  • Support the development of project pipelines and capital deployment strategies aligned with company growth plans.
  • Interface with potential lenders, investors, and advisors to build strong external relationships and represent the company in financing discussions.
• Process & Systems Development
  • Contribute to building internal project finance processes, tools, and templates to support repeatable, scalable deal execution.
  • Help establish key performance metrics and reporting standards for project-level and portfolio-wide financial performance.

Required Experience

Mission-driven, with a passion for accelerating clean energy and infrastructure development.

• Education & Experience
  • Bachelor’s degree in Finance, Economics, Business, Engineering, or related field; MBA or advanced degree preferred.
  • 5+ years of experience in project finance, investment banking, private equity, or corporate finance — ideally within energy, infrastructure, or industrial sectors.
• Skills & Competencies
  • Exceptional analytical and quantitative skills, with advanced proficiency in Excel and financial modeling of levered non-recourse projects.
  • Excellent communication and presentation skills, with the ability to convey complicated concepts to both technical and non-technical audiences.
  • Highly organized, detail-oriented, and comfortable managing multiple priorities in a fast-paced startup environment.

Preferred Qualifications

• Experience with modeling tax equity partnership economics (including full capital account build-ups)
• Familiarity with government-backed financing mechanisms, tax incentives, or DOE/loan guarantee programs is a plus.

Benefits

• Competitive compensation packages
• 401k with company match
• Medical, dental, vision plans
• Generous vacation policy, plus holidays

Estimated Starting Salary Range
The estimated starting salary range for this role is $118,000 - $140,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. 

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact.  Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you’ll do

About the internship experience

Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products. 

Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.

We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.

Responsibilities

You will:

• Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
• Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
• Influence business actions and strategy by developing actionable insights through metrics and dashboards.
• Drive the collection of new data and the refinement of existing data sources.
• Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
• Present your work to the Data Science team, partner teams, and fellow interns

Who you are

Minimum requirements

We’re looking for someone who has:

• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
• Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
• Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred qualifications

You also likely have:

• Experience writing and debugging data pipelines
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
• Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

We are seeking a Senior Product Manager to fully own the Commission Plans & Contracts Platform, the systems and services that power contract and commission workflows and enable partner product teams, brokerage, and operations to execute reliably across markets. This role is ideal for a PM ready to own a product end-to-end with minimal guidance, set a 12-month roadmap, drive squad-level goals, and shape a 12–18 month vision in partnership with their manager. You will navigate technical and business complexity, make sound calls on architectural and business trade-offs (including the occasional one-way door), and align stakeholders across Product & Engineering, brokerage, and operations.

A successful candidate is an autonomous operator with strong product judgment who can take ambiguous problem spaces and turn them into clear, well-scoped, sequenced plans. You'll support both staff-facing and agent-facing workflows, with decisions on this platform having far-reaching impact across our broader systems and the experience of the agents and clients who depend on them. You bring structure to complexity, consistently making sound decisions on well-defined problems while driving clarity and alignment in more ambiguous or high-stakes situations. You collaborate across engineering, accounting, brokerage, and operations to turn cross-functional problems into durable solutions. Your work enables teams to operate efficiently and with confidence, with a strong emphasis on accuracy and trust in the data and logic powering critical workflows.

Responsibilities:

• Fully own the Commission Plans & Contracts Platform with minimal guidance, setting direction across discovery, definition, delivery, and iteration.
• Define and own a 12-month roadmap for your squad, translating organizational goals into squad-level goals and gaining alignment with your manager.
• Partner with your manager to define a 12–18 month product vision and own the near-term strategy that gets the squad there.
• Drive squad-level goals end-to-end, making good scope/time/quality trade-off recommendations and gaining alignment when deadlines need to shift.
• Author PRDs for 6–12 month efforts on a single team, covering business rules, edge cases, success metrics, rollout plans, and clear sequencing.
• Autonomously gather and synthesize inputs across LFR, user interviews, surveys, product support meetings, ad-hoc escalations, the feedback forum, key staff stakeholders, and quantitative analysis to inform product decisions.
• Coordinate across other P&E groups as well as brokerage and operations stakeholders to align on dependencies, sequencing, and launch readiness.
• Contribute meaningfully to UX thinking, offering input and feedback that shapes the design direction alongside your design partners.
• Solve medium-complexity problems to unblock the team and accelerate customer impact.
• Communicate proactively with all P&E stakeholders — and, with your manager's support, with business stakeholders — on status, risks, decisions, and trade-offs.
• Improve how your squad operates by identifying and driving process improvements that make the team more efficient.

Qualifications:

• 5+ years of product management experience (or equivalent) building and launching software products, including time spent fully owning a product area.
• Track record of autonomously executing in areas with some ambiguity, medium technical and business complexity, and medium platform risk (including a few one-way doors).
• Experience setting 12-month roadmaps, owning near-term strategy, and contributing to longer-term product vision.
• Strong PRD craft, with clear business rules, edge cases, metrics, and rollout plans.
• Demonstrated ability to drive squad-level goals and make good scope/time/quality trade-offs under real-world delivery pressure.
• Comfort synthesizing qualitative and quantitative inputs autonomously to inform decisions.
• Experience aligning stakeholders across Product & Engineering and adjacent business functions (e.g., operations, brokerage, GTM).
• Consistently sound product judgment on tactical decisions and the maturity to know when to bring controversial or ambiguous calls to your manager.
• Strong written and verbal communication; reliable, proactive, and high follow-through.

Compensation: The salary pay range for this position is $137,400 - $152,700; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

The role:

We are seeking a Senior Financial Systems Analyst who will support Workday on a day-to-day basis focusing on unlocking its vast reporting possibilities. This is an exciting role for someone to make a direct impact at SoFi by shaping our processes and providing reporting solutions to help drive visibility, while also playing a key role in our implementation of Workday Financials.

Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You are an expert in Workday Financials and also understand data flows/SQL/Tableau, while also having the ability to step back and understand the business needs. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

This position will be part of the Business Intelligence and Systems team within Accounting Controllership.

What you’ll do: 

• Support Workday Financials through configuration of business process, condition rules, validations
• Create and maintain complex Workday financial reports
• Participate in bi-annual Workday release regression testing and uptake of new features.
• Stay updated on the Workday roadmap and propose changes and solutions in areas of focus.
• Act as a technical expert and support the broader finance team in Workday reporting
• Develop strong collaborative relationships with the Finance, Engineering, People orgs and across the company, with a specific focus on our Workday integrations
• Leverage Workday and other tools and systems to design, develop & deliver robust and scalable reporting
• Perform daily administrative and production support tasks as required
• Develop and deliver training on SoFi’s financial business processes and use of Workday
• Be part of a great team, but capable of operating independently - managing relationships, deliverables and expectations with your business partners
• Be personable, approachable and able to connect with each and every person on the team and throughout the business
• Remain detail-oriented while working across a variety of projects

Who are you:

• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners
• Expert in Financial Management Systems, with an understanding/vision of how to architect the perfect solution
• Experience with Database Management systems (SQL) who enjoys solving complex problems
• Experience with front-end reporting tools (Tableau)
• Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders
• Strong analytical, problem solving and critical thinking skills
• High EQ with ability to influence outcomes and communicate technical content to general audiences
• Knowledge of the banking space a strong plus

What you’ll need:

• Bachelor's degree required, preferably in Mathematics, Computer Science, Statistics or a Business related degree (Masters a plus)
• 5+ years of work experience
• 2 + years of experience configuring and supporting a combination of at least 2 of the following modules: Supplier accounts, Customers, Projects and Billing, Business Assets, Expenses,  Banking and Settlement, Financial Accounting and Accounting Center
• Subject matter expert on:
• Workday Financial Reporting (Advanced, Matrix)
• At least one of the modules: Supplier Accounts, Customers
• Experience required:
• Multiple subsidiary structure and working with different functional currencies
• ETLs/ELTs related to Workday integrations
• SOX Compliance
• Experience preferred:
• Workday Pro Certifications
• Workday Financial Reporting (Composite, Discovery Boards, Prism, Office Connect)
• Consolidations
• FDM design, deployment, and maintenance
• SQL (Snowflake)
• Tableau
• Finance planning tools (ex: Planning analytics (TM1))
• Alteryx
• Integration platforms such as Fivetran or Mulesoft
• Jira / Confluence  or other Scrum Management tools
• Strong verbal and written communication skills
• Spanish fluency a plus
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners

The Role

At SoFi, we're on a mission to help our members get their money right and become a Top 10 Financial Institution. We're seeking a Senior Product Manager to own the payments product experience and API/developer platform for Big Business Banking (BBB) - SoFi's zero-to-one commercial banking platform for institutional clients, backed by our national bank charter.

You'll define how commercial clients move money - via portal or programmatically through APIs - across wires, SEN, FedNow, RTP, ACH, and potentially tokenized deposit settlement (SoFiUSD). 

As a key cross-functional player, you will collaborate closely with Engineering, Design, Business, Operations, Compliance, Risk, Treasury, and others to set a vision, define priorities, manage trade-offs, execute an ambitious agenda, and be accountable to results reported at the executive level.

What You'll Do:

• Define payment product strategy for Big Business Banking - sequence the roadmap across various payments capabilities. Translate market and client needs into a prioritized backlog.
• Own the client-facing payment experience - design end-to-end UX for how treasury teams initiate, approve, track, and reconcile payments across portal and API. Design for commercial complexity: batch payments, multi-approver workflows, scheduled transfers, beneficiary management.
• Own the API product and developer experience - define payment and webhook API contracts, error handling, idempotency, and versioning. Build a sandbox and documentation experience that gets a client from signed contract to first successful API payment with minimal friction.
• Write PRDs and requirements for Bank Platform - serve as the "customer voice" to the Bank Platform team that builds rail infrastructure. Define acceptance criteria and own UAT. Ensure BBB's needs are prioritized alongside other internal consumers (Money, Credit Card, Crypto).
• Define payment operations and exception handling - design what happens when payments fail, get returned, or need manual intervention. Define ops workflows and tooling requirements so operations teams can resolve issues quickly.
• Partner with Risk and Compliance on payment-level controls - transaction limits, sanctions screening flows, fraud rules, and regulatory requirements (Reg E, BSA). Treat compliance as a product feature.
• Own go-to-market for new payment capabilities - define readiness criteria for each new rail launch, coordinate across eng/ops/compliance/business, and drive adoption with clients.

What You'll Need:

• Bachelor’s degree or higher, ideally in a technical, finance, or quantitative field.
• 5+ years of product management experience, with meaningful time in payments, commercial/B2B fintech, or financial infrastructure.
• Deep understanding of how money moves - wires, ACH, real-time rails, stablecoins - and what's different about commercial payments: higher stakes, multi-party authorization, beneficiary management, batch operations.
• Experience shipping APIs that external developers integrate against. You think in contracts, error codes, idempotency keys, and developer experience.
• Ability to cut through swirl and define the requirements. You can take ambiguous client needs and translate them into clear, testable requirements that an engineering team can execute without constant clarification.
• Proven cross-functional partnership skills and ability to work in matrixed environment 
• Experience working in regulated environments - you know how to partner with compliance, legal, and risk teams while keeping the product experience usable.
• Technical credibility - you can read an API spec, review a sequence diagram, and discuss system design with engineers. You self-service data.
• Strong communication, forward lean and AI-fluency

Nice to Have:

• Experience at a bank, neobank, or banking-as-a-service provider - particularly on the commercial or treasury side.
• Familiarity with real-time payment rails (FedNow, RTP) and/or stablecoin settlement infrastructure.
• Experience with developer-facing products at companies like Stripe, Plaid, Marqeta, Unit, Treasury Prime, Modern Treasury, or similar.

The Role

SoFi is looking for a Senior Product Manager to lead a strategic portfolio of new initiatives within our Personal Loans business. In this role, you will define and drive a multi-quarter roadmap focused on unlocking new growth opportunities, expanding our product ecosystem, and delivering meaningful value to our members.

You will own and scale key cross-sell experiences, including systems that power intelligent product recommendations and ranking across SoFi surfaces. You’ll also evaluate and incubate new product opportunities, partnerships, and emerging bets that extend the reach of our Personal Loans platform.

This is a highly cross-functional and high-impact role for a product leader who thrives in ambiguity, can set clear direction in evolving spaces, and is equally comfortable defining strategy and driving execution. You will partner closely with engineering, data science, design, marketing, and business stakeholders to bring new capabilities to life and ensure they deliver measurable results.

What you’ll do

• Identify and define new product opportunities that drive growth for Personal Loans, with a focus on cross-sell, engagement, and member value
• Build and iterate on recommendation and ranking systems that surface the right products to the right members at the right time
• Lead 0→1 product development from problem definition through launch, including experimentation, iteration, and scaling
• Partner closely with Data Science to define models, inputs, and success metrics for personalization and optimization systems
• Collaborate cross-functionally with Engineering, Design, Marketing, Risk, and Operations to deliver high-quality experiences
• Define and track key metrics, using data to inform prioritization, evaluate performance, and drive continuous improvement
• Maintain a high-quality backlog and drive execution in a fast-paced, agile environment
• Communicate product strategy, progress, and insights clearly to stakeholders and leadership

What you’ll need

• Bachelor’s degree or higher, ideally in a technical, finance, or quantitative field.
• 5+ years of product management experience
• Proven track record of owning product areas or initiatives and delivering measurable business impact
• Experience defining product strategy and driving execution across a multi-quarter roadmap
• Strong product intuition with the ability to identify high-impact opportunities and make sound prioritization decisions
• Data-driven mindset with experience using metrics, experimentation, and analysis to guide decisions
• Experience working cross-functionally with engineering, design, and data science teams
• Strong communication skills, including experience influencing stakeholders and presenting to senior leadership
• Ability to thrive in a fast-paced, ambiguous environment with high ownership

Nice to have

• Experience with growth, personalization, or recommendation systems
• Background in fintech, lending, or consumer financial products
• Experience working on 0→1 and scaling product initiatives
• Familiarity with experimentation frameworks and A/B testing
• Exposure to machine learning–driven products or ranking systems
• Experience building cross-sell or multi-product ecosystems

The Role 

We’re building Commercial Banking from the ground up and are looking for a Director Product Management  to lead the strategy, architecture, and delivery of our next-generation business banking platform.

This is a 0→1, company-level role responsible for defining how businesses move and manage money across modern rails — including Wires, ACH, FedNow, and emerging real-time/stablecoin settlement. You will set the vision, drive the roadmap and deliver the experiences and infrastructure that commercial clients need to run their businesses. 

You’ll operate with high autonomy, influence executive strategy, and lead complex, regulated financial systems from concept through scale.

What you'll do:

• Define the multi-year product vision and roadmap for Commercial Banking
• Own and deliver client facing experiences and APIs and end-to-end platform: business accounts, payments rails (Wires, ACH, FedNow), treasury capabilities, and APIs
• Lead 0→1 product development from discovery through launch and scale
• Manage and grow a product team to drive roadmap and delivery as business scales
• Partner cross-functionally with Business, Engineering, Risk, Compliance, Treasury, Finance, Sales and Operations teams to bring product roadmap to life
• Translate regulatory and operational constraints into elegant product solutions
• Drive measurable outcomes: adoption, volume, reliability, cost efficiency, and risk performance
• Influence company strategy and mentor other PMs as a subject-matter expert in commercial banking

What you'll need:

• Bachelor’s degree or higher, ideally in a technical, finance, or quantitative field.
• 10+ years of product management experience, with significant time in platform and B2B roles
• Experience building and growing teams of product managers
• Strong cross-functional collaboration and influence skills
• Excellent written and verbal communication skills, with the ability to simplify technical complexity for diverse stakeholders. Experience presenting to C-level leadership
• Direct experience building commercial/business banking or payments products
• Deep knowledge of Wires and ACH systems and operations
• Experience launching regulated financial products at scale from within a Bank
• Entrepreneurial mindset, with proven track record leading ambiguous, cross-team 0→1 initiatives independently
• Strong technical fluency with APIs, ledgers, and payments architectures
  
  

Preferred Qualifications: 

• Experience with FedNow or real-time payments (RTP)
• Stablecoin, tokenized deposits, or blockchain-based settlement experience
• Sponsor bank or Banking-as-a-Service experience
• Treasury, cash management, or reconciliation platform exposure
• Experience building front-end b2b experiences 
• Experience building developer-first financial platforms or serving fintech/platform customers

We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team, focused on driving engagement and long-term member value, specifically for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem. You will define and own engagement measurement frameworks, lead high-impact analytical deep dives, design causal experiments, and develop scalable data and modeling solutions that inform product strategy for SoFi Plus. 

The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist, you will operate as a data thought partner to Product, Engineering, Lifecycle Marketing, and Leadership. You will shape the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, subscription upgrades/downgrades, and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue, and ensure we are making disciplined, data-informed investment decisions.  This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, A/B testing, and strong collaboration.

This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines
• Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
• Evaluate and interpret the results of data analysis
• Communicate findings to influence technical and non-technical stakeholders
• Stay up-to-date on the latest data science techniques and technologies
• Build data pipelines to deploy production level datasets
• Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs, and effectively translate insights into actionable business recommendations.
• Experience with leveraging LLMs or other AI solutions to develop analytical tools.

Qualifications:

• Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
• 7+ years of experience leveraging data-driven analysis to influence product and business strategy, ideally in a tech or subscription-based company.
• Deep expertise in:
• Retention and engagement analytics
• Cohort and lifecycle analysis
• Subscription metrics (churn, LTV, ARPU)
• Experimental design and causal inference
• Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and python.
• Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments.
• Proven experience developing and deploying machine learning models in production with monitoring frameworks.
• Strong understanding of subscription economics and revenue optimization.
• Demonstrated ability to work independently in ambiguous environments and drive measurable business impact.
• Excellent communication skills, including the ability to present complex technical findings to executive audiences.
• Track record of mentoring junior data scientists and elevating team standards.