Service Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Service Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line.  You will be responsible for resolving complex technical issues across deployed Battery Energy Storage Systems (BESS). This role supports an Operations and Maintenance (O&M) organization that performs routine monitoring, preventive maintenance, and first-line troubleshooting. Service Engineering serves as the technical escalation path for O&M, owning deep diagnostics, system-level failure analysis, and engineering-driven corrective actions. 

The Service Engineer ensures safe, reliable, and high-performing asset operation by bridging field operations and engineering, translating operational issues into engineering solutions, and feeding field learnings back into product and system design. This role has the potential of growing into leadership as the team grows.  

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on both technical and leadership challenges. You’re a leader and a doer, excited about working in a dynamic, fast-paced setting, and want to shape the electrical engineering function within a new department at Redwood.

Essential Duties and Responsibilities:

• Act as the primary technical escalation point for the O&M organization for issues beyond standard operating procedures
• Define clear handoff criteria, escalation thresholds, and response expectations between O&M and Service Engineering
• Lead, mentor, and scale a team of Service Engineers providing tier-2 and tier-3 technical support
• Own investigation and resolution of complex electrical, controls, software, thermal, and system-integration issues
• Translate field and O&M feedback into actionable requirements for Product, Systems, and R&D Engineering teams
• Drive improvements in system serviceability, reliability, and maintainability through design and process changes
• Own advanced service documentation including troubleshooting guides, decision trees, and service bulletins
• Develop technical training materials and support O&M team upskilling on new systems, upgrades, and known issues

Desired Qualifications:  

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards 

Working Conditions:  

• Environment, such as office or outdoors
• Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
• Essential physical requirements, such as climbing, standing, stooping, or typing
• Occasional work weekends, nights, or be on-call as a regular part of the job
• Travel requirements, up to 40%

Project Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Project Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will own the full project lifecycle - from commercial scoping and BD handoff through engineering, procurement, construction, commissioning, and structured handoff to Operations and Maintenance - for a growing portfolio of utility-scale and behind-the-meter storage projects. 

You are the connective tissue between Business Development, Product Engineering, EPC partners, and customers. You drive schedule, manage risk, and ensure every project is delivered on time, on budget, and to spec.

The ideal candidate is highly self-driven, adaptable to a startup environment, and comfortable operating where processes are still being built. You’re a doer and a builder, excited about working in a dynamic, fast-paced setting, and want to shape how Redwood delivers energy storage projects at scale. 

Essential Duties and Responsibilities

• Drive end-to-end project execution from requirements scoping and BD handoff through engineering, procurement, construction, commissioning, and O&M handoff
• Own the integrated end-to-end schedule, budget tracker, and risk register for each assigned project; proactively identify and escalate schedule or cost risks
• Serve as the primary interface between Business Development, Product Engineering, EPC partners, and customers across all project phases
• Track RFI and submittal workflows, change order logs, permitting, interconnection coordination, and all contractual project deliverables
• Partner with Product Engineering on equipment selection, BOM alignment, and technical scope definition for each project
• Oversee commissioning readiness and test plan execution; manage structured handoff documentation to O&M
• Maintain project data in Smartsheet, SharePoint, and relevant PM tooling; provide S&OP planning inputs and deployment forecasting to leadership
• Capture lessons learned and contribute to the development of repeatable delivery templates, checklists, and execution standards

Desired Qualifications:  

• Bachelor’s degree in Engineering, Program Management, Business, or a related discipline
• 5+ years of program management experience in energy storage, renewable energy, or utility-scale power infrastructure
• Demonstrated experience managing projects from scoping through commissioning and O&M handoff, with ownership of schedule, budget, and risk
• Strong cross-functional communication skills - comfortable managing up, down, and across EPC, customer, and internal engineering teams
• A Passion for sustainability and making the world a better place! 

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards

Working Conditions:  

• Hybrid office environment (San Francisco, CA) with regular travel to project sites
• Ability to work in varying site conditions which may include exposure to noise, dust, and temperature extremes while visiting active BESS construction and commissioning sites
• Essential physical requirements, such as climbing, standing, stooping, or typing 
• Occasional work on weekends or after hours to meet project milestones
• Travel requirements, up to 25% - primarily to project sites across the U.S.

About the Role

Stitch Fix is at the forefront of e-commerce, personalization, and AI. As a Product Manager for our core Fix Experience—our largest business unit—you will shape the future of how clients discover and evolve their personal style. We are looking for a dynamic product leader who operates with high urgency and velocity, capable of turning complex problems into highly personalized, engaging client experiences that drive retention.

You're excited about this opportunity because you will…

• Drive Massive Business Impact: Take on a tremendous responsibility for our largest and most critical business unit. The innovation, features, and improvements you launch here will have a direct, significant impact on Stitch Fix's overall company performance. Delivering measurable results at this scale is key.
• Define the Vision & Strategy: Create a compelling strategic narrative, product strategy, and release plan spanning both immediate quarterly goals and a 1-3 year time horizon.
• Drive Execution with Velocity: Move with high urgency to champion innovative product ideas, taking them from zero to one through deep discovery, customer interviews, prototyping, and rapid iteration. You will adeptly balance investments across breakthrough innovation, core feature improvements, and foundational technical excellence.
• Manage a Dynamic Portfolio: Balance and deliver on a large, complex portfolio of multiple workstreams, products, and simultaneous feature launches.
• Lead Cross-Functional Alignment: Foster tight collaboration across Design, Algorithms, Engineering, Merchandising, Marketing, and Operational teams to build solutions that exceed client expectations and drive business growth.
• Elevate the Product Culture: Work collaboratively across the broader group of Product Managers to foster and act as a role model for a high-performance, inclusive culture. You will actively coach and mentor peers, consistently identifying opportunities to uplevel the product discipline and practices across the organization.

We’re excited about you because you have…

• Experience: 7+ years of product management experience, ideally in direct-to-consumer (DTC), retail, or e-commerce. You bring a strong track record of building and scaling subscription-based products, leveraging recommendation systems and personalization to drive customer engagement and retention. Bachelor's degree in a quantitative or business discipline (MBA is a plus).
• Masterful Prioritization: You excel at ruthless prioritization, driven by a deep understanding of the client and our business model. You are adept at estimating impact—knowing exactly what is worth building and when to build it—while managing complex teams, interconnected systems, and competing stakeholder objectives to maximize team impact.
• Strategic & Analytical Rigor: You easily extract actionable insights from competing data sources, defining A/B experiments and leveraging statistical data to guide go-forward opportunities. Well-versed in Agile methodologies.
• Thoughtful Collaboration: You build strong relationships, empower diverse perspectives, and effectively communicate business cases and roadmaps to cross-functional partners and executive leadership.
• Product Sense: You have a keen eye for UX, working closely with Product Design to craft intuitive, delightful, and customer-centric experiences.

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

About the Role

Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.

We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.

What You'll Do

• Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
• Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
• Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
• Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
• Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
• Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.

What We're Looking For

• Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
• Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
• An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
• A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
• Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
• Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
• Clear, concise communicator, able to distill complex ideas for any audience
• Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
• Curious, growth-oriented, and genuinely passionate about pricing

Nice to Have

• Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
• Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques. 
• Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
• Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop

Compensation

Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

• Work closely with the R&D leadership (incl. Head of Engineering, Head of Security, Product Management, etc.) to ensure projects are executed effectively and meet deadlines
• Drive new products and features through the development process, serving as a central source of truth for the who, why, what, when, and how of projects you manage
• Develop the requirements to deliver projects successfully by working backwards from target outcomes
• Be a driving force in the organization of customer requests and issues, and collaborate with team leads to balance them against larger product initiatives
• Manage the lifecycle of Engineering tasks and projects, and collaborate cross functionally with stakeholders across the whole company
• Contribute to the maturation of internal tooling and processes that accelerate our teams and simplify delivery execution

• 2+ years experience driving technical projects in professional settings, with technical program management experience being a plus
• Ability to balance multiple concurrent projects in an a fast-paced and frequently evolving environment
• Leadership experience that exemplifies curiosity, compassion, and empathy
• Ability to engage in technical discussion and invest in learning technical concepts
• Computer Science background or other technical / quantitative orientation
• Prior startup experience is a plus

• Unlimited PTO + 10 company holidays
• Pre-Tax commuter benefits
• 100% covered health, vision, and dental insurance 
• 401K Plan
• $200 one-time home office stipend
• In office snacks and free dinner when working past 7pm

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 Platform Sales team is a highly consultative, enterprise sales team that is responsible for some of Stripe’s largest and fastest growing partners. Stripe helps software platforms offer more value to their customers by embedding Stripe’s powerful payments technology into their solution. As a Platform Sales Manager, you will play a critical role on our go-to-market leadership bench-- leading a team of AEs to make payments-as-a-service a competitive advantage for high-growth organizations.

What you’ll do

• Drive sales growth through successful leadership, organizational planning, customer service and outstanding execution 
• Oversee the expansion of Stripe’s footprint with global saas platforms
• Make hiring decisions, honing our ideal candidate profile and onboarding strategy
• Create structure and focus for GTM ideas and product sales campaigns that the product team is exploring. Drive execution and measurement. Analyze results and make recommendations for action in a timely manner.
• Define key sales support mechanisms, processes, and programs to meet the rapid growth of the business and achieve revenue attainment and market development objectives
• Build a world-class organization and write the playbook for the era of monetizing payments on platform

Responsibilities

• Lead a team of sophisticated Existing Business, Platform AEs focused on expanding our global footprint with enterprise SaaS platforms
• Drive deal strategy and partner across the business to ensure healthy pipeline, funnel conversion, win rate, and margin preservation across the portfolio
• Effectively work cross-functionally across the organization to shape Stripe's product roadmap and drive best practices on selling and forecasting
• Engage with the largest strategic opportunities, leading executive relationships 
• Being accountable for delivering revenue growth

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 relevant enterprise sales experience
• 3+ years of people management experience
• Ability to hire, coach, and motivate a high-performance sales team
• Ability to articulate complex, technical concepts and translate them into business-relevant terms
• Demonstrated quantitative and analytical skills

Preferred qualifications 

• Thrives in fast-paced settings with a high-level of autonomy and can create clarity and structure 
• A knack for working well with a wide range of stakeholders, both internally and externally
• Experience scoping and managing strategic projects with input from cross-functional teams
• Prior experience in financial services, the payments industry, or with the card networks

Who we are

About Stripe

Stripe, LLC. 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

• Conceptualize and execute risk strategies for Stripe’s rapidly growing merchant portfolio by harnessing deep subject matter expertise in risk management
• Leverage SQL skills to drive quantitative analysis and data visualizations
• Quantify the impact to Stripe’s direct profit and losses for each recommended strategy
• Provide recommendations to create new or optimize existing portfolios of risk models and/or policies by managing multiple risk programs that require cross functional collaboration with engineering and non-engineering teams
• Diagnose and mitigate high-risk payment incidents (e.g. non-compliance with financial partner requirements), emerging policy trends, and exploits as a result of new product launches
• Develop deep understanding of Stripe’s growing suite of products to formulate risk requirements and assess overall risk posture prior to launching new products to market
• Represent Stripe during financial partner audits and oversight visits. Distill Stripe’s most complex risk systems into highly digestible and easily understood concepts for auditors.

Who you are

Minimum requirements

• Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Information Systems, or a related field, plus 5 years of post-bachelor’s, progressive related experience in a Financial Risk Specialist or related occupation.
• 3 years of experience working with, aggregating, and running analysis on large data sets, including utilizing SQL and common BI tools (e.g. Tableau)
• 3 years of experience managing external relationships with financial institutions, users, and law enforcement;
• 3 years of experience leading cross-functional initiatives with engineering, operations, external partners, etc. to develop and implement robust fraud controls;
• 3 years of experience working with product teams as a risk subject-matter expert/advisor in fraud management to ensure products can be launched and scaled safely; and,
• 3 years of experience identifying and defining problems, building project plans to address these problems, and managing the implementation of their solutions.

Salary: $185,286 - $229,100/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.CA02

#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 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

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. As a Data Science Manager, you’ll lead a team of data scientists working across several product teams to drive common goals, such as acquiring new customers. You will partner closely with product, engineering, and design leads to set the strategy and direction for the overall team while mentoring your reports in their technical growth.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Manage and lead a team of data scientists partnering with Asana’s product teams.
• Partner closely with Product Management, Design, and Engineering leaders to drive high-level strategy.
• Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed.
• Guide data scientists in their technical and professional development through active mentorship.
• Collaborate with recruiting and other data team managers to help grow and scale the organization.
• Make hands-on contributions to the team’s work, including designing experiments, building ML models, and answering key questions with data.

About you

• You have over 5 years of experience in a comparable data science role, with a proven track record of delivering high-impact insights.
• You bring at least 2 years of experience specifically managing a team of data scientists within a product-focused environment.
• You are skilled at working closely with Product, Engineering, and Design leadership to guide product strategy and drive organizational decision-making.
• You have an extensive track record in data-informed decision making, including defining success metrics, conducting observational inference, and leveraging experimentation to inform direction.
• You possess a strong technical background in a quantitative field and are fluent in modern languages for statistics or data processing (e.g., Python, R).
• You are comfortable with ambiguity and enjoy the challenge of balancing rigorous statistical practice with the speed of results.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Experience with Enterprise SaaS products is a strong plus.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $258,000 - $293,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-SA

The role:

The Vice President of Biometrics will provide strategic and operational leadership across statistical activities as the company transitions into Phase III clinical trials. This role will be responsible for defining and executing the integrated biometrics strategy, overseeing CRO and vendor partnerships, ensuring data integrity and regulatory readiness, and serving as a key leader on the clinical development team. The ideal candidate brings deep late-stage expertise, strong cross-functional leadership, and a hands-on mindset well suited for a lean, fast-growing biotech organization.

Key responsibilities:

• Provide strategic leadership for biometrics across all clinical development programs, with primary focus on Phase III execution
• Define and implement an integrated biometrics strategy supporting clinical trial design, data quality, statistical analysis, and regulatory submissions
• Serve as a core member of the clinical leadership team, partnering closely with Clinical Operations, Data Management, Regulatory Affairs, Safety, and Medical Affairs
• Lead and oversee CROs and external vendors responsible for biostatistics statistical programming and related biometrics activities.
• Oversee development and review of key deliverables including SAPs, DMPs, CRFs, TFL shells, interim analyses, database locks, and clinical study reports
• Ensure data integrity, statistical rigor, and compliance with GCP, ICH, and global regulatory requirements
• Provide strategic input into study design, endpoint selection, sample size calculations, and adaptive or innovative trial methodologies as appropriate
• Support regulatory interactions and submissions, including briefing documents, responses to health authority questions, and advisory committee preparations
• Establish scalable biometrics processes, standards, and SOPs to support late-stage development and future pipeline growth
• Build, mentor, and lead internal biostatistics capabilities over time, as appropriate to company growth

Required experience & skills:

• Bachelor’s degree or advanced degree, ideally in biostatistics, statistics, mathematics, or a related quantitative discipline
• Minimum of 12 years of progressive experience in biostatistics within the biotechnology or pharmaceutical industry
• Significant experience leading biostatistics activities for Phase III clinical trials and regulatory submissions
• Demonstrated success managing CROs and external vendors in a late-stage development environment
• Proven track record as a strategic biometrics leader, contributing substantively to complex study designs, endpoint development, and statistical strategy across global development programs; able to provide sharp, on-your-feet thinking in real-time discussions with regulators, KOLs, and cross-functional teams, while maintaining a roll-up-your-sleeves approach to engage directly with protocols, analysis plans, and data when needed.
• Strong understanding of global regulatory expectations related to clinical data, statistical analyses, and inspection readiness
• Proven ability to operate strategically while remaining hands-on in a lean organization
• Strong written and verbal communication skills with a collaborative, team-oriented approach
• Ability to thrive in a fast-paced, dynamic environment and remain comfortable with change and ambiguity
• Flexible, proactive, and hands-on mindset with a roll-up-your-sleeves, can-do attitude

Preferred experience & skills:

• Prior experience serving as a functional or biometrics lead in regulatory interactions with FDA and ex-U.S. health authorities
• Experience in cardiovascular, rare disease, or genetically driven conditions
• Background in small or mid-sized biotech companies transitioning into late-stage development
• Experience building or scaling internal biometrics functions and infrastructure
• Familiarity with innovative trial designs and modern statistical methodologies

Base Salary Range: $300K - $375K

About Wholesail ⛵️

Wholesale trade, a $55T global market, still operates like the world before the internet and modern payment networks: collection processes are manual and run on paper, short-term credit risk is assumed by the vendor, and businesses rely heavily on legacy ERP systems that don't talk to each other. The result is large, measurable drag — we estimate that vendors spend over $500B a year globally across industries on an inefficient mix of processing, bad debt, lending, credit insurance, software, and labor costs to get paid.

Wholesail is building a financial network from the ground up that connects the systems of vendors and buyers involved in wholesale trade to enable streamlined payment and the transfer of risk to third parties. This will allow vendors to offload risk and eliminate tens of billions of waste — while giving creditworthy buyers better terms and third-party capital, unlocking hundreds of billions (ultimately trillions) in additional sales. The primitives of this network scale across industries and geographies: a universal approach to ERP integrations, modern payment rails, and a live trade-credit bureau to underwrite risk — which we're calling Lighthouse.

The Opportunity: Risk & Capital Products 🚢

Credit is the load-bearing beam of our network. Every time a vendor ships goods before getting paid, someone is taking a risk — today it's the vendor, tomorrow it should be a third party at a fair price. Getting that transfer right is what unlocks the next order of magnitude of sales across the wholesale economy, and the only way to get it right is to underwrite buyers more accurately than anyone else in the industry. Listen to the Visa episode of the Acquired podcast to learn how credit card networks did this for retail trade. 

We think we're uniquely positioned to do this. Through Lighthouse, we're building a live, reciprocal trade-credit bureau: vendors on our network contribute real-time payment behavior on a long tail of SMB buyers that no traditional bureau sees. That data — combined with the bank, ERP, and transaction signals already flowing through Wholesail — is a modeling dataset that doesn't exist anywhere else. The first MLE on this team gets to decide what we build with it.

The problems are real and the stakes are significant. Our models directly shape the terms buyers are offered and the losses Wholesail and our capital partners absorb. There's no established playbook here and no legacy stack to inherit — you'll be setting the direction for how we do modeling, data engineering, and production ML at Wholesail for years to come.

The Role ⚒️

As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit risk modeling end-to-end — from problem framing and data pipeline design, through model development and validation, through production serving and monitoring. You'll work directly with the hiring manager, our engineering and product leadership, and our hands-on advisor Dan Massoni (former Chief Commercial Credit Officer of American Express) to decide what to build, explore features to model and how you’ll scale our approach risk scoring. .

Expect your work to span:

• Modeling. Design, build, and validate credit risk models (PD, LGD, EAD, fraud, exposure sizing, pricing) against our proprietary reciprocal-bureau data and external signals. Choose the right tool for the job — gradient-boosted trees, deep models, LLMs, or classical statistical models — and defend the choice.
• Data engineering. Build the pipelines, feature logic, and training datasets that your models (and future models) run on. At this stage, the MLE owns the full data path; over time we'll grow a team around you.
• Productionization. Ship models into production systems where they make real decisions on real dollars. Own deployment, monitoring, drift detection, and iteration.
• Partnering cross-functionally. Work closely with product, engineering, capital markets, and external lending and insurance partners. Explain your models to people who care about the outcomes but not the math, and translate their constraints back into modeling decisions.
• Shaping the team. Help define the hiring bar and interview process for the data scientists and MLEs who will join after you. You'll have a strong voice in what this team becomes.

Qualifications

• 5+ years of experience building models for production use cases.
• Deep modeling skill: strong command of supervised learning on tabular data, including feature engineering, model selection, hyperparameter tuning, calibration, and rigorous offline and online evaluation.
• Strong data engineering skills — comfortable owning ETL and feature pipelines end-to-end against real, messy production data (SQL and a modern data-processing stack).
• Proficiency in Python and the modern ML ecosystem (pandas, scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM, Jupyter, etc.).
• Solid statistical reasoning — you can spot leakage, selection bias, label noise, and spurious correlations, and you know why your offline metric doesn't always predict online performance.
• Track record of owning models end-to-end: not just prototyping in a notebook, but taking something from a problem statement to a production system that makes decisions.
• Excellent written and spoken English communication skills; ability to explain model behavior, tradeoffs, and limitations to non-ML audiences (product, ops, capital partners, leadership).
• The spirit of a team player who believes in fostering a healthy and supportive work environment.

Bonus Qualifications

• Direct experience in credit risk modeling — PD/LGD/EAD models, scorecards, underwriting models, exposure management, or collections modeling — particularly for SMB or subprime segments.
• Experience in fintech, lending, payments, fraud, or insurance, or with regulated modeling environments (model risk management, adverse action, fair lending).
• Experience building or operating ML platform components — feature stores, model registries, training orchestration, online serving, monitoring/drift detection.
• Backend engineering depth: comfortable writing production services, designing APIs, and reasoning about distributed systems that consume your models.
• Strong data analysis background — fluency in exploratory analysis, experimentation, and translating data into product and business decisions.
• Experience with LLMs and agentic systems applied to operational problems (document understanding, KYB, entity resolution, agent tooling).
• Experience as the first or founding ML hire at a company, or early on a team that had to build ML infrastructure from scratch.
• Published research, Kaggle placements, or prominent OSS contributions in the ML or data ecosystem.
• BA or BS in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience.
• Advanced degree (MS or PhD) in a quantitative field.

Equal Employment Opportunity

Wholesail is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, pregnancy, or any other characteristic protected by federal, state, or local law. Employment decisions at Wholesail are based on qualifications, merit, and business needs. We encourage applicants from all backgrounds to apply.

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $187K-$262K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-NK1

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

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable.

Scale operates as a two-sided marketplace. On the demand side, our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams.

About the Role

• Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality.
• These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.
• Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation.
• Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Example Product Management Openings:

Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models.

Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster.

Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience.

You Will

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideally, You’d Have

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
• Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
• Experience building products from the ground up and iterating through the scaling journey of a business
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience in AI/ML, data infrastructure, or marketplace businesses
• Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
• Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains  
• Experience working at high-growth startups or scaling consumer/enterprise platforms

Scale is looking for a Compensation Manager to join our Total Rewards team. In this role, you'll help build and evolve our global compensation programs by providing analysis, insights, and modeling. We're seeking someone analytical, fast-paced, and excited about solving hard problems that impact our biggest investment - our people. You'll play a key role in designing and scaling our compensation processes as we continue to grow.

Responsibilities:

• Perform quantitative analyses to assist Leadership with key projects
• Conduct market benchmarking to determine pay targets and support business growth
• Contribute to the research, design, and delivery of compensation programs
• Support international expansion and M&A initiatives
• Collaborate with the Recruiting team on offer escalations and process optimization
• Develop and maintain tools to enhance efficiency of programs
• Build and integrate AI into Comp workflows
• Drive clarity, transparency, and understanding of compensation at Scale

Requirements:

• 6+ years experience on Compensation teams
• Experience with compensation programs, benchmarking, and market pricing. Experience with Radford and Pave is a plus.
• Ability to analyze large datasets and draw actionable insights
• Comfort working in a ultra fast paced environment
• Eagerness to build, learn, and grow

Nice to haves:

• Understanding of international compensation practices and regulatory environments
• Experience with pre-IPO equity programs
• Familiarity with AI tools (if not, we will teach you!)

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

What you’ll do

• Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria
• Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans
• Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems
• Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration
• Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations
• Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement
• Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline
• Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production
• Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

What we’re looking for

• 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role
• Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact
• Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans
• Strong foundation in statistics, experimentation, causal reasoning, and measurement
• Experience building tools or products, not just analyses — for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications
• Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work
• Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly
• Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives
• High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications

• Experience in a forward deployed, solutions, consulting, or other client-facing technical role
• Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products
• Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow
• Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery
• Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems
• Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling
• Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like

Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational — to contributor experience, to customer data quality, and to the health of the business.

We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem — building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real.

This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems — because you will be the resident expert. You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.

About the Role:

• You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops.
• T&S at Scale is not a mature function — it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes.
• The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion — all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces.
• This is a highly cross-functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently.

You will:

• Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention
• Own the product roadmap for fraud detection, prevention, and remediation systems — including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling
• Build a balanced approach to fraud mitigation and growth protection — ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users
• Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material
• Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership — independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement
• Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models
• Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure
• Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively
• Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability

Ideally, you’d have:

• 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams
• Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior
• Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases
• Proven ability to balance fraud mitigation with growth protection — you’ve made hard tradeoff decisions between blocking bad actors and preserving good UX
• Exceptional stakeholder management skills — you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently
• Strong analytical capabilities — you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL
• Experience setting ambitious product vision and executing against it — you’ve moved a function from reactive to proactive
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience building T&S systems with global/international coverage across diverse contributor populations
• Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve
• Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces)
• Experience working at early-to-growth-stage companies where T&S was being built or rebuilt from scratch

Scale exists to accelerate the development of AI applications. We believe that creating and harnessing the power of AI is both wildly ambitious and the most impactful opportunity we can be working on. To that end, we are looking for a very specific candidate for the Business Operations & Strategy team - a hard charging generalist that is obsessed with impact, deeply analytical, low ego, and ready to embrace the intensity required to achieve our goals. If you are an experienced operator who excels at solving hard problems while building strong teams and relationships, we want to hear from you!

The team

The Business Operations & Strategy team is a tight-knit group that drives mission-critical initiatives across the breadth of Scale, supporting product, engineering, sales, marketing, and core operations by providing planning, analytical, operational, and strategic support. 

As Scale continues to rapidly grow, most of the problems we face have ambiguous causes and unknown solutions - we cannot pattern match our way to winning. The BizOps team dives deeply into Scale’s biggest challenges on a project-basis, driving clarity and outcomes by breaking down the problem in a highly structured way. This means that every member of the BizOps team must be highly operational, ready to shift between strategic, cross-functional projects and rolling up our sleeves to run day-to-day operations; no job or task is too small.

You will:

• Take on Scale’s difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes
• Dive deeply into our operations and data - you will become an expert on how Scale operates, and develop a deep understanding of the AI industry
• Build high trust relationships across the organization to partner with and influence outcomes beyond what you directly touch
• Have full ownership of your work and outcome - we support each other as a team, but you will have broad latitude to run autonomously as you get up to speed 
• Partner with, influence, and support the Scale executive team as we tackle the most difficult decisions in the business
• Help incubate, seed, and scale new teams
• Design, manage, and iterate on the operational and analytical systems and processes that make Scale hum
• Eventually spin out to take on full ownership of a given role, team, or opportunity in Scale

Ideally you would have:

• The ability to run on your own, operating at the highest level in a rapidly changing industry during a period of hypergrowth
• A penchant for digging deeply into the data yourself, thinking from first principles, and iterating quickly to deliver results
• A strong orientation toward outcomes, and a history of being scrappy when it counts
• Low ego - you will be joining a team of truly exceptional generalist athletes, there is no room for ego
• An easygoing interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms
• Proven ability to build high trust relationships with a wide range of people across the organization
• A history of developing lightweight processes and getting them adopted
• Experience in product or project management, taking projects from conception to launch
• Excellent qualitative and quantitative analytical skills

Nice to haves:

• 4+ years of experience in a highly strategic, analytical and operational role within a rapidly growing company
• 2+ years consulting (McKinsey, Bain, or BCG preferred), investment banking, private equity, or hedge fund experience
• Top MBA
• Experience with SQL or a willingness/aptitude to learn

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
• Core Agent Capabilities Development:
• Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
• Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
• Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
• Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
• Deep expertise in Generative AI and Large Language Models (LLMs).
• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
• Experience with vector databases and advanced retrieval techniques.
• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
• Experience driving cross-team technical initiatives that have delivered significant business impact.

Tasks & Responsibilities:

• Develop and optimize passenger rail service concepts, operating plans, and detailed timetables, with a focus on North American intercity, commuter and regional rail systems.
• Apply experience gained at Deutsche Bahn in Germany to introduce European best practices for service design, scheduling, and operations planning.
• Lead the design and evaluation of theoretical and operational timetables, including capacity and head-way analysis, rolling stock utilization, and infrastructure interface considerations.
• Collaborate with internal and external partners—including railroad operators, infrastructure owners, and planning agencies—to ensure integrated and feasible service plans.
• Mentor and review the work of consultants and analysts supporting service planning projects to foster technical development.
• Support workshops and presentations to communicate complex operational concepts to clients and stakeholders.
• Leverage DB’s international expertise and tools, coordinating with colleagues in Germany to transfer knowledge and adapt methodologies for North American applications.

Requirements:

• Bachelor’s degree in Engineering, Transportation, Business Administration or similar (M.Sc.).
• Minimum of 10 years of experience in railway operations planning, timetable development, or service design, including direct experience working with Deutsche Bahn (DB) in Germany.
• Deep understanding of European railway scheduling methodologies, capacity planning, and coordination between infrastructure managers and train operators.
• Demonstrated proficiency with rail service planning tools, such as Viriato or similar timetable development or dynamic simulation software.
• Outstanding analytical, conceptual, and problem-solving skills and an innovative and entrepreneurial mindset; ability to work independently; aptitude to quickly grasp new concepts and effectively produce results.
• Passion for tackling complex challenges in mobility and railway transportation sector.
• Strong written and verbal presentation and communication skills.
• Ability to work effectively in a fast-paced, team-oriented environment with strong interpersonal skills.
• Experience in using MS-Office (Excel, PowerPoint, Word) for performing analyses and developing quantitative models.
• Occasional domestic / international travel may be required.

Working Conditions and Travel:

You may work from a well-lighted, heated and air-conditioned indoor office setting with adequate ventilation. Occasional overnight travel by land and air.

Physical Requirements, with or without a reasonable accommodation:

• Ability to work at a computer workstation for periods up to 4 hours at a time
• Ability to speak on the telephone for a total of up to 3 hours per day
• Ability to sit for up to 3 hours without breaks at meetings
• Ability to walk and stand for up to 4 hours without breaks at program site visits and meetings

We offer an annual gross salary between $161,000 and $188,000 + bonus (USD) for full-time employment, depending on professional qualifications and experience.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join Us! GoFundMe is seeking a customer-obsessed, insights-driven and savvy Principal Consumer Product Marketing Manager to lead high-impact, consumer-facing initiatives across our platform. You’ll be instrumental in shaping compelling product narratives, crafting GTM strategies, and influencing cross-functional teams to drive measurable results across our consumer lifecycle.

From early strategy through activation and continuous optimization, you’ll help connect people to the causes and communities that matter most. You’ll be expected to operate with a high degree of independence, manage ambiguity with clarity, and lead initiatives that impact both team and company-wide goals. 

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 2-3x a week.

The Job

Strategic Product & Go-to-Market Leadership

• Lead end-to-end go-to-market strategies that bring our products to life—shaping the vision, rallying cross-functional partners, and turning ideas into impactful launches. 
• Obsess over understanding our ideal customers—grounded in data and human insight—to define clear segments and craft standout messaging and tactics that inspire people to help others.
• Flex your analytics muscle through defining, tracking and communicating key metrics that show the impact of product marketing efforts on product adoption, engagement, and growth.
• Translate business objectives and consumer needs into integrated marketing and channel strategies that drive meaningful adoption, engagement, and growth.
• Keep the momentum going after launches, leading energizing retros, uncovering what worked (and what didn’t), and turning those insights into smarter tests, sharper iterations and scaled impact.
• Bring a highly data-driven approach to decision-making, leveraging quantitative and qualitative insights, including a deep partnership with research to optimize strategy and performance.
• Bring a right-brained spark to GTM - using creative, unconventional thinking to solve tough challenges and help us stand out in a crowded, competitive space.
• Leverage journey mapping to better understand consumer experiences and inform full-funnel strategies.

Positioning & Messaging

• Craft clear, differentiated, and emotionally resonant messaging frameworks that map to business objectives, customer needs, behaviors, and motivations.
• Synthesize complex product information and research into clear, compelling product narratives aligned with user motivation, market opportunity, and business strategy.
• Build and maintain messaging frameworks, positioning guides, and audience strategies to be used across all GoFundMe business teams. 
• Maintain an understanding of the competitive set, ensuring messaging and positioning stand out in the market and reflect current trends and dynamics.

Strategic Influence

• Serve as the glue between Product, Marketing, Research, and Data, translating insights and data into action, particularly in fast-moving, high-complexity environments. 
• Partner closely with PMs, Engineers, Researchers, and Designers to inform product strategy and roadmap through consumer insights, competitive landscape, market dynamics, and a deep understanding of emerging cultural trends shaping user behavior.
• Identify and validate product hypotheses through testing frameworks and research driven feedback loops.
• Be deeply connected with research, using it as a foundational input for strategic decision-making across GTM and product marketing efforts.

Operational Excellence

• Ensure alignment across Marketing, Comms, Social, and Growth teams on execution timelines, assets, and performance goals.
• Proactively identify risks or misalignments and take initiative to realign plans or surface strategic pivots.
• Lead by example with rigor, clarity, and a bias toward action.

What Success Looks Like

• GTM strategies are clearly defined, well communicated, and executed with confidence, resulting in product adoption, engagement, and business growth.
• Stakeholders feel informed, empowered, and aligned across functions and priorities.
• Product marketing consistently fills the strategic and executional gaps across launches for both product and marketing functions.
• Messaging resonates with users and scales across surfaces, from lifecycle emails to landing pages to all other owned, earned and paid channels.
• You are seen as a strategic leader and reliable owner by Product, Marketing, and Executive teams alike.

You

• 6–10+ years of experience in Product Marketing, with proven impact on consumer-facing product launches and strategic initiatives.
• A strong track record of independently owning high-impact product launches, including testing frameworks and full-funnel marketing campaigns.
• Exceptional ability to synthesize ambiguity into actionable strategy, and to provide clarity where there is none.
• Mastery of product storytelling, messaging frameworks, and positioning across varied user segments and lifecycle stages, paired with prolific writing skills that translate complex ideas into clear, compelling narratives across channels.
• A consumer-obsessed mindset, consistently advocating for user-first thinking and grounding decisions in user behavior and research.
• Excellent project management, communication, and stakeholder engagement skills.
• Familiarity with tools such as Figma, ClickUp, Amplitude, and Slack to drive GTM planning and collaboration.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $171,000 - $257,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

The opportunity

Altruist is hiring an experienced Product Marketing Manager to support our Investment product suite. This is an individual-contributor role reporting to the Director of Product Marketing. In close partnership with Product, Design, Sales, and other cross-functional teams, you will own end-to-end GTM strategy for key platform launches and lead stakeholder alignment and approvals.

This is a hybrid role based out of our San Francisco FiDi office, with three days per week in the office.

What you'll do

• Customer and market insights: Own qualitative, quantitative, and competitive research; translate insights into clear ICP definitions, segmentation, and actionable GTM strategies.
• Positioning and messaging: Develop positioning frameworks, value propositions, and messaging for core products and platform capabilities; ensure consistency and clarity across all customer-facing touchpoints.
• Launch management: Lead end-to-end GTM planning and execution for new features and product initiatives; partner with Design to produce high-quality launch and sales assets; manage stakeholder reviews and approvals.
• Growth and lifecycle programs: Partner with Product and Marketing to design and execute prospecting, onboarding, and lifecycle programs across web, email, webinars, and events; continuously experiment to reduce time-to-value and increase adoption.
• Measurement and optimization: Partner with Product and BI to define success metrics, build dashboards, monitor performance, and quickly act on insights to improve KPIs.
• Thought leadership: Collaborate with Comms and Content to develop narratives, POVs, and content that reinforce Altruist’s product leadership and differentiation.
• Sales enablement: Equip Sales and customer-facing teams with compelling collateral such as one-pagers, pitch decks, and case studies; create feedback loops to inform product and marketing strategy.

What you'll bring

• 3+ years of experience in B2B product marketing in high‑growth, late‑stage startups.
• Curiosity: you ask “why” and back your answers with data.
• Hustle: you are proactive, thoughtful, organized, and get things done. You ship, learn, iterate and run flawless, well-organized GTMs from planning to post-launch.
• Partnership: you bring a clear POV, influence respectfully, collaborate for the greater good, and pull in the right teams at the right time.
• Communication: you communicate clearly with internal and external audiences and can turn complex concepts into easy to understand and compelling marketing assets.

The role

We’re hiring a Product Manager to own strategy and execution across a core area of the Opto platform.

Today, our product does not yet match the ambition of what we’re building. Workflows are fragmented, onboarding is not self-serve, and teams too often default to shipping features instead of solving problems. This role exists to change that.

You will own a major surface area end-to-end: the strategy, the priorities, the execution, and the outcomes. You will work closely with design and engineering to shape what we build, not just define requirements and hand them off.

You will be expected to make hard tradeoffs and stand behind them, even when there is pressure to do otherwise. You are accountable for clarity, direction, and results.

This is a high-ownership role. You will operate with real autonomy, set direction, and be responsible for driving measurable impact on user behavior and business outcomes.

What you’ll do

• Own the strategy for your surface area and the outcomes that ladders up to it. Know where you're going, not just what you're building next.
• Translate company-level goals into concrete product outcomes and measurable progress tied to adoption, assets on platform, revenue, or retention.
• Partner closely with sales and GTM to ensure what we build reaches users and drives business impact. Product and go-to-market are not separate tracks.
• Work alongside design and engineering to shape solutions. You are in the room when decisions get made, not writing specs from the outside.
• Structure work around clear opportunities, hypotheses, and bets. Continuously refine them as you learn.
• Decompose complex, ambiguous problems into clear decisions and forward motion. Bring structure that makes the mess navigable.
• Drive prioritization with rigor. “A customer asked for this” is not a strategy. You can distinguish patterns from one-offs and articulate why something matters more than the alternative.
• Push for simplicity and coherence. Build end-to-end workflows, not disconnected features.
• Elevate design as a core part of how the product gets made, not a downstream step.
• Drive progress in the face of ambiguity, competing priorities, and imperfect alignment. You do not wait for ideal conditions to move things forward.
• Use qualitative and quantitative insights to inform decisions. Be rigorous about how you gather signal. Methodology matters as much as the data.
• Communicate clearly and consistently with stakeholders, building alignment without losing speed.
• Hold a high bar for what ships: quality, usability, and real impact on users and the business.
  
  

What success looks like

• You have identified the highest-leverage problems in your area, and the team is focused on them rather than scattered across low-impact work.
• Users complete key workflows with less friction, fewer workarounds, and more confidence than before.
• Product decisions are driven by evidence and clear reasoning, not opinion or inertia.
• You have killed or significantly simplified something that should not exist. The product is lighter, not just bigger.
• You can point to measurable improvements in adoption, engagement, assets on platform, or revenue tied to what you shipped.
• You consistently make good decisions under uncertainty and are trusted to do so by design, engineering, and leadership.
  
  

Required Skills 

• A track record of driving measurable outcomes, not just delivering features.
• Structured thinking in ambiguity. You break down ill-defined problems into clear opportunities, decisions, and bets.
• Strong prioritization judgment. You can say no with conviction and redirect work toward what matters most.
• Design sensibility. You care deeply about how the product feels and works. You treat design as a partner and raise the bar on what ships.
• Strong discovery instincts. You think carefully about how to gather user insight and avoid biased or low-signal inputs.
• Ability to drive execution through complexity. You move things forward across teams, even when conditions are messy.
• Clear communication. You can align a room, articulate decisions, and write with precision.
• High agency. You take ownership, push things forward, and do not wait for perfect information or permission.
  
  

AI experience

• Experience building AI-native products where AI is core to the user experience, not bolted on.
• Strong understanding of how to design for trust, transparency, and appropriate user control in AI systems.
• Deep integration of AI into your own workflow across research, synthesis, writing, and prioritization.
• A clear point of view on how AI is changing the role of product management and how you are adapting to it.
  
  

Qualifications

• 0-1 product experience. You’ve built a product or major product area from scratch. You can articulate what you shipped first, what you cut, how you sequenced bets, and how you learned.
• Experience contributing to or reaching product-market fit. You understand how to search for signal, iterate quickly, and avoid overbuilding before the problem is clear.
• Experience owning product strategy and execution for a meaningful surface area. You can point to what changed because of your work.
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Bonus

• Fintech or private markets experience.
• Founder or early-stage experience.
  
  

Why Opto

• A real product problem to solve.This is not incremental optimization. You'll be shaping how complex, high-stakes workflows should work from first principles.
• High-leverage domain. Private markets are large, growing, and structurally underserved by software.
• Direct access to users. We have distribution and relationships with the people we’re building for.
• Real AI surface area. Private markets workflows are complex, data-heavy, and still largely manual. That's a genuine opportunity to build AI into the product in ways that matter not as a feature, but as a structural change in how the work gets done.

How to Apply

Please fill out the below fields, and attach a Resume and Cover Letter. Why a Cover Letter? We receive a high volume of applicants, and we have real humans that read each and every resume, we encourage you to use creativity in your Cover Letter and speak directly to why you want to join our team! 

We will review your resume in as timely a manner as we are able to, so kindly refrain from reaching out to hiring managers or other Opto team members via email or linkedin, as this won't improve or fast track your application. 

Compensation and Benefits

Opto has a high bar for talent, and we are committed to building the best teams possible. Candidates are never subjected to discrimination based on race, citizenship, religion, ethnicity, gender or gender identity, sex, pregnancy, national origin, age, sensory, mental, or physical disability, or any other characteristic.

The successful candidate for this role can expect a generous compensation and benefits package. The cash salary range for this role is $235,000-$280,000 dependent on skills, experience and expected contribution. 

All full time employees at Opto enjoy:

• Significant equity
• Health, dental, and vision insurance
• Unlimited PTO
• Retirement savings plan (401k)
• Learning, Fitness and Commuter stipends
• Paid Holidays

This position is based primarily onsite in either our San Francisco or New York City offices. 

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

About the role

Chime is looking for a Senior Manager of Marketing Analytics to lead and scale our Marketing Analytics function during a critical phase of growth. In this role, you’ll set the vision for how marketing analytics drives business strategy.  You’ll lead a high-performing team using descriptive analytics, modeling, and experimentation to advise Marketing and Executive leadership on where and how to invest for maximum impact.

The base salary offered for this role and level of experience will begin at $188,000 and up to $260,000. 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

• Drive business outcomes.  This role is critical for the Growth org, this team is meant to deliver outcomes not academic analyses that will sit on a shelf
• Set and implement the vision and strategy for the Marketing Analytics team
• Lead, mentor, and scale a team of marketing analysts, fostering high standards for technical rigor and business impact
• Prioritize the team’s work.  Improve the team’s processes using AI.
• Own the company’s marketing reporting and analysis for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV
• Build scalable reporting infrastructure and self-serve tools that improve marketing velocity and accountability
• Use MMM, experimental, and quasi-experimental methodologies to estimate incremental impact
• Translate complex analyses into clear and persuasive executive-level recommendations.  Partner with Marketing, Finance, and Product leadership to inform budget allocation and investment strategy

To thrive in this role, you have

• 10+ years of experience in analytics or a related quantitative field, with 8+ years in Marketing Analytics within a B2C technology company
• A results-oriented mindset with a bias toward action, clarity, and high standards
• Exceptional stakeholder management skills and experience influencing senior leadership and cross-functional executives
• A demonstrated record of using data to drive measurable business impact in a consumer-facing marketing team.  Experience with brand and performance marketing and how marketing teams operate those functions
• Experience leading and developing high-performing analytics teams, with a track record of elevating talent and building strong culture
• Deep expertise in marketing measurement, including attribution modeling, media mix modeling, causal inference, customer lifetime value modeling
• Strong SQL proficiency and experience working with large-scale data warehouses
• Proficiency in BI and visualization tools (e.g., Looker, Tableau, PowerBI); experience improving data accessibility across organizations
• Strong statistical foundation (e.g., hypothesis testing, predictive modeling, experimental design), experience with Python

#LI-AM1 #LI-Hybrid

About the Role

Chime is the largest and fastest-growing U.S. player in the challenger-banking space. Through our banking partners, we offer access to bank accounts with fee-free overdraft, provide members the chance to receive early access to their paychecks, help them improve their credit, and more. We created Chime because we believe everyone deserves financial peace of mind.

We’re looking for a Lead Data Analyst to drive forecasting for key growth and revenue drivers and deliver insights that shape business decisions. You’ll own end-to-end forecasting workstreams such as member growth, purchase volume, deposit volume, and intramonth performance tracking - while partnering closely across Analytics, Data Science, Product, Marketing, and Investor Relations.

This role is ideal for someone who’s highly analytical and model-driven, but equally strong at turning numbers into a clear narrative that leaders can act on.

The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. 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

• Own core forecasting workstreams for key business metrics (e.g., member growth, purchase volume, deposit volume), including in-year outlooks and contributions to longer-range forecasting.
• Build, maintain, and improve forecasting models that are accurate, transparent, and scalable; document assumptions and create repeatable processes.
• Run intramonth pacing, variance, and sensitivity analyses, identifying key drivers and surfacing risks/opportunities early.
• Develop scenarios and “what-if” analyses to support planning and real-time decision-making (e.g., upside/downside cases, impact of product or marketing changes).
• Partner cross-functionally to align inputs and assumptions, reconcile differences across reporting/forecasting views, and ensure a single source of truth where possible.
• Own unit economics and profitability analytics, including LTV/CAC, ROI analysis, and framework development for evaluating product and growth initiatives.
• Improve dashboards and forecasting tooling (spreadsheets, Looker/Pigment or similar) to increase visibility, consistency, and speed of insight.

To thrive in this role, you have

• 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role (fintech/payments/consumer financial services is a plus).
• Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders.
• Strong modeling instincts: comfortable living in the details (assumptions, drivers, sensitivities) while keeping the business story straight.
• Excellent communication: able to translate analytical output into crisp narratives, tradeoffs, and recommendations for technical and non-technical audiences.
• Expert SQL skills - able to translate business questions into robust queries, understand edge cases, and explore a warehouse efficiently to find the right data.
• Proficiency in Python or R - writes reproducible, well-structured code with a tendency toward automation and scalable analysis.
• High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments.

#LI-Hybrid #LI-BE1

About The Role

We are seeking a highly analytical and process-driven Sales and Marketing Operations Manager to join our Revenue Strategy and Operations team. In this pivotal role, you will bridge the gap between marketing strategy, sales execution, and data-driven decision-making. The ideal candidate will optimize the entire lead-to-revenue funnel, streamlining operations and leveraging data to enhance overall business performance.

Responsibilities

• Full-Funnel Reporting: Develop, maintain, and automate integrated dashboards that provide actionable insights into the entire customer journey, from initial marketing touchpoints to closed-won sales.
• Performance Analysis: Analyze data across the full tech stack (CRM, Marketing Automation, Web Analytics) to identify trends, conversion bottlenecks, and high-growth opportunities.
• Attribution & ROI: Collaborate with finance and leadership to refine attribution models, ensuring clear visibility into marketing's contribution to the sales pipeline and overall ROI.
• Forecasting: Define and track key performance indicators (MQLs, SQLs, Win Rates, CAC, LTV) to provide accurate revenue forecasts and identify potential risks.
• Tech Stack Management: Oversee and optimize our integrated technology stack, including Salesforce, marketing automation (e.g., HubSpot), and sales engagement tools (e.g., MixMax).
• Process Optimization: Design and implement scalable workflows for lead routing, lead scoring, and automated nurturing programs to ensure seamless handoffs between teams.
• Data Integrity: Maintain a "source of truth" by ensuring data cleanliness, implementing data enrichment strategies, and managing audience segmentation for targeted campaigns.
• Strategic Alignment: Act as the primary liaison between Sales and Marketing to ensure alignment on definitions, goals, and execution strategies.
  
  

Requirements

• Education: Bachelor’s degree in Marketing, Business, Statistics, Computer Science, or a related quantitative field.
• Experience: 5–7 years of experience in Sales/Marketing Operations or Business Intelligence, preferably within a B2B SaaS environment.
• Technical Proficiency: Expert-level experience with Marketing Automation Platforms (HubSpot, Marketo, Pardot) and CRMs (Salesforce).
• Data Visualization: Proven ability to create impactful dashboards using tools like Tableau, Power BI, Looker, or Google Data Studio.
• Analytical Skills: Exceptional ability to translate complex data sets into clear, actionable insights for non-technical stakeholders.
• Advanced Tools: Advanced Excel skills are required; proficiency in SQL, R, or Python for advanced data extraction is a strong plus.
• Strategic Mindset: Deep understanding of funnel mechanics, lead management, and the tactical requirements of sales and marketing alignment.
  
  

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

The opportunity: 

We're looking for a Staff Product Manager to own and drive strategy across a product domain at Flexport. This is not a single-feature role. You will define the vision for how multiple product surfaces work together to serve clients and operators across global logistics, then execute against that vision with a high degree of autonomy.

Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you shape will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. You will work across multiple engineering teams and coordinate with other PMs to ensure your domain delivers cohesive, measurable outcomes. You will also raise the bar for the PM team through mentorship, better frameworks, and sharper thinking on the hardest product problems we face.

This is a role for someone with deep product experience, strong analytical instincts, and the ability to operate at both the strategic and execution level in a complex, data-rich environment.

You will:

• Define and drive product strategy for a domain that spans multiple teams, user types, or workflow stages
• Own the end-to-end roadmap for your domain: identifying the highest-leverage problems, sequencing investment, and making clear trade-off recommendations to leadership
• Partner with Engineering, Design, Sales, Operations, and other product teams to align priorities and ship integrated experiences across surfaces
• Use data to set direction, not just measure results. Building metrics frameworks that connect product usage to business outcomes and using them to guide investment decisions across your domain
• Break down ambiguous, cross-cutting problems into concrete product plans that multiple teams can execute against
• Represent your domain in leadership forums, influencing resource allocation and strategic direction
• Mentor PMs on the team: improving how we write specs, prioritize, communicate trade-offs, and ship

You should have:

• 8+ years of product management experience
• Demonstrated ability to own a product domain (not just a feature or single product area) and drive outcomes across multiple teams
• Strong analytical and quantitative skills. You build metrics frameworks, write your own queries, and use data to settle debates. SQL proficiency required
• A track record of shipping products in data-dense, complex domains where the user workflow spans multiple steps or systems
• Experience aligning cross-functional teams (engineering, design, operations, commercial) around a shared roadmap when priorities compete
• Proven ability to operate at the strategy level (where should we invest, and why) and the execution level (what ships this quarter, and what does "done" look like) in the same week
• Excellent written and verbal communication, especially the ability to frame trade-offs, present recommendations to senior leadership, and create clarity in ambiguous situations
• Experience mentoring or leading other PMs, formally or informally
• Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus

#LI-onsite

The opportunity: 

We're looking for a Senior Product Manager to join Flexport's product team and own a critical part of how we serve clients and operators across global logistics. You'll define the vision and roadmap for your product area, ship features that drive measurable business outcomes, and collaborate with engineering, design, commercial, and operations teams to solve hard problems at scale.

Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you build will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. This is a high-impact role for someone who combines strong product instincts with deep analytical skills and comfort navigating complex domains.

You will:

•  Define and deliver features that improve key workflows for clients or internal operators across Flexport's platform
• Own your product area end-to-end, from problem discovery through launch, adoption, and iteration
• Partner with Engineering, Design, Sales, Operations, and other cross-functional teams to translate complex logistics workflows into clear, intuitive experiences
• Use data to guide prioritization, measure impact, and identify opportunities
• Develop analytics frameworks to track product health, user engagement, and business outcomes
• Contribute to medium- and long-term product strategy, with opportunities to shape the future of the platform

You should have:

• 6+ years of product management experience, or other domain-relevant experience
• Strong analytical and quantitative skills. You are comfortable working with complex datasets, building metrics frameworks, and using data to make decisions. SQL proficiency required
• A track record of shipping intuitive UX in data-dense, complex domains
• Experience building user-facing or operator-facing features that simplify multi-step workflows
• Ability to collaborate deeply with designers, engineers, and commercial or operations teams
• Excellent written and verbal communication skills, especially around tradeoffs and prioritization
• Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus

#LI-onsite

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

GoFundMe Pro  helps nonprofit organizations fundraise more effectively across donation experiences, peer-to-peer fundraising, and events. We’re looking for a Staff Product Manager to own high impact product areas across the supporter and nonprofit admin experience.

We’re looking for a Staff Product Manager to own high impact product areas across the donor experience. This role sits at the intersection of customer empathy, data, and emerging AI -building experiences that increase donor trust, conversion, and long-term engagement while delivering measurable business outcomes.

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week

What You’ll Do

• Lead the end-to-end checkout experience, driving improvements in conversion, payment success rates, and donor retention
• Build delightful, intuitive experiences grounded in customer empathy and real-world behavior
• Leverage data, experimentation, and customer feedback to increase conversion.
• Operate with end-to-end accountability -from problem definition through delivery, optimization, and scale but in a way that you are leveraging the system and collaborating with others.
• Work cross-functionally with engineering, design, go-to-market, and data science partners to execute effectively
• Act as the voice of the customer, deeply understanding user needs, motivations, and pain points
• Use qualitative and quantitative insights to inform product and GTM decisions, define success metrics, and track outcomes
• Champion your product internally - building clarity, excitement, and alignment across teams while influencing without authority.
• Drive strong execution by transforming ambiguity into disciplined execution - defining scope, sequencing work, mitigating risks, coordinating stakeholders, and ensuring teams deliver against commitments.

You might thrive in this role if you:

• Bring 6+ years of product management experience, including leading growth initiatives for self-serve SaaS products
• Are skilled in Discovery that helps identify the right problems to solve and clearly articulate what not to build and why
• Are highly analytical and fluent in experimentation
• Operate effectively in fast-moving, ambiguous environments 
• Excel at aligning cross-functional teams and leading complex initiatives across product, engineering, and GTM teams
• Are AI Powered and actively use AI tools to accelerate work across the product development lifecycle - from discovery and synthesis to PRDs, experimentation, and iteration
• Leverage tools like Cursor and other AI-assisted workflows to improve speed, clarity, and decision quality in collaboration with Engineering and Design
• Are customer obsessed and growth minded

What You Bring

• 5+ years of product management experience with increasing scope, ownership, and measurable impact
• Proven track record of building, launching, and scaling successful products that drive customer and business outcomes. 
• Strong analytical and decision-making skills—comfortable using both data and judgment to drive outcomes
• Strong decision-making skills grounded in data, customer insight, and sound judgment
• Hands-on familiarity with AI tools (e.g., Cursor, LLM-based research, prototyping, or analytics tools) and comfort applying AI across the PDLC to improve speed and quality. 
• Experience working directly with customers and deeply analyzing consumer behavior and market trends
• Ability to operate independently, manage ambiguity, and perform at a fast pace under pressure
• Exceptional communication skills with the ability to align teams, present to senior leadership, and drive execution
• Humility, curiosity, and a bias toward learning

Nice to Have

• ​​MBA from a leading program, ideally focused on technology or entrepreneurship
• BA/BS in a technical field
• Background in management consulting
• Experience in fintech, payments, donations, or multi-stakeholder platforms

Why This Role Matters

You’ll shape products that don’t just grow revenue—but build trust, unlock value for customers, and create durable impact. This is a high-autonomy role for a product leader who thinks like a founder, ships with purpose, and is excited about what’s next.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is $181,000- $240,000 + equity + benefits.  The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

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

GAQ127R112

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is looking for a Senior Financial Analyst to join our G&A FP&A Team in our mission to help data teams solve the world's toughest problems. You will report to the Sr. Finance Manager, and will be a key finance partner to the G&A organizations.

You will serve as a trusted advisor to provide the financial insights, analysis, and guidance to optimize investment decisions and accelerate business growth. You will improve forecast reliability, enhance corporate reporting, partner with IT, People and Legal across different levels, and help the business to be successful and achieve its goals, grounded in financial reality and modeling, and analysis.

The impact you will have:

• Be the key Finance partner to IT, People and Legal leaders and their teams, including:
• Partner with the business to drive forecast accuracy
• Prepare and own budget vs. actual variance analysis and other relevant reporting
• Build, maintain and improve detailed financial models that track and analyze functional costs and their impact cross-functionally and on the company’s overall performance, including but not limited to the Recruiting Capacity model and IT CAPEX forecast
• Collaborate with the Accounting on accruals and other elements of the close process
• Assist with and manage frequent ad hoc requests and strategic projects to support senior leaders in making informed business decisions
• Participate in the company’s long-range strategic planning
• Lead process and system improvement and scaling projects for your area to drive the company’s continued growth and scaling.  

What we look for:

• Bachelor's Degree in Business, Finance, Economics, Accounting, or a comparable quantitative field
• 4+ years of FP&A, Strategic Finance, or related experience (e.g., Investment Banking, Management Consulting), with a focus on technology; familiarity with the software industry, SaaS business, or consumption-based models
• Experience with supporting G&A functions is a plus
• Experience in building financial models independently and preparing recommendations
• Excellent analytical, organizational, and collaboration skills
• Knowledge of generally accepted accounting principles and experience with GAAP and non-GAAP financial metrics
• High competency with systems such as Anaplan or Pigment, Workday, Netsuite, Salesforce, Coupa, and Zip
• Prior experience using SQL or willingness to learn is a plus

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join Us! The GoFundMe Pro team is looking for a customer-obsessed, insights-driven, savvy Lead Product Marketing Manager (PMM) to shape the product experience, drive go-to-market strategy, and influence roadmap development across our nonprofit platform.

As the engine behind the majority of activity on our platform and one of our most powerful growth levers—this role is all about taking Direct Giving to the next level. You’ll own the go-to-market vision and drive adoption, shaping how we bring new capabilities to life for our customers.

Partnering across teams, you’ll lead end-to-end GTM strategy and execution, crafting standout positioning, sharpening our competitive edge, and launching with impact. Your work will directly fuel customer success, platform growth, and revenue, making this a high-visibility role with real influence on GoFundMe’s future.

You’ll be a strategic thought partner to Product, Design, Sales, and Customer Success—bringing the voice of the customer, sharp market insights, and performance data to shape what we build and how we win.

You’ll define how we show up in a competitive nonprofit tech landscape, crafting positioning that cuts through—and equipping our teams with what they need to drive adoption, expansion, and lasting customer impact.

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 2-3x a week.

The Job

Go-to-Market Strategy & Execution

• Lead end-to-end go-to-market strategy and execution for key product areas, with a primary focus on Direct Giving
• Drive cross-functional alignment across Product, Growth, Sales, and Customer Success on priorities, launch plans, and success metrics
• Lead tiered GTM strategies from early ideation through launch and post-launch analysis
• Partner with Product to influence roadmap prioritization using qualitative and quantitative insights
• Collaborate with Growth, Demand Gen, Sales, and Customer Success to execute integrated campaigns across both product-led and sales-led motions
• Own internal and external product communications and enablement, including development of launch briefs, sales talk tracks, FAQs, newsletters, and other core GTM assets.

Positioning, Messaging & Competitive Strategy

• Own positioning and messaging across the GoFundMe Pro platform, ensuring strong differentiation in a competitive landscape
• Define and evolve Direct Giving narratives to drive awareness, adoption, and revenue growth
• Tailor messaging to nonprofit personas (executive directors, development leaders, finance, and operations teams)
• Ensure consistency across product surfaces, marketing campaigns, sales enablement materials, and customer communications
• Develop and operationalize competitive insights and enablement

Experimentation & Early Access Programs

• Own early access programs to support product validation and GTM readiness:
• Drive structured feedback loops
• Test positioning, messaging, and rollout strategy
• Partner with CX, Sales, and customer-facing teams to recruit target participants
• Standardize communications and improve rollout consistency and internal expectations
• Evolve and optimize the research hub and expand its GTM impact over time

Cross-Functional Alignment

• Serve as the glue across Product, Sales, Customer Success, Growth, and Marketing 
• Drive alignment on PMM priorities, key launches, performance against goals, competitive insights, and roadmap implications–ensuring shared clarity on what we’re building, why it matters, and how success is defined and measured
• Create executive-ready narratives and materials to drive clarity and decision-making at the leadership level

PMM Impact & Growth Insights

• Identify gaps in activation, retention, expansion, and product adoption
• Translate insights into clear, actionable GTM and product recommendations
• Measure launch and GTM effectiveness, continuously iterating to improve performance
• Drive clarity on performance, opportunities, and where to invest next

You

• 6–10 years of B2B Product Marketing experience, ideally in SaaS or hybrid PLG + sales-led environments.
• Experience marketing to nonprofit, mission-driven, or vertical SaaS audiences is a strong plus.
• Proven success leading cross-functional go-to-market initiatives for complex product launches.
• Strong positioning and writing skills. You translate complexity into clarity and resonance.
• Analytical and data-driven, with experience defining success metrics and measuring impact.
• Comfortable navigating ambiguity in a fast-paced, evolving environment.
• Experienced in executive-level communication and presentation
• Familiarity with tools like ClickUp, Figma, Salesforce, Amplitude, and competitive intelligence platforms (Crayon/Klue) is a plus.

Why you’ll love it here

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.

Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere

Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.

Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.

Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.

Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.

Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.

Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is  $155,500 - $233,500 + equity + benefits.  Our salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Title: Actuarial Data Scientist

Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)

Reporting to: Director, Actuarial

Open to Relocation? We’ve Got You Covered: 

This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here.

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About This Role:

We’re hiring an Actuarial Data Scientist to lead loss cost modeling for Hippo's Homeowners program. This role will own the design, development, and deployment of predictive models for frequency and severity, ensuring strong alignment with pricing strategy and business objectives. You'll build and scale Python-and SQL-based tooling that embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows. In addition to leading loss cost modeling, you'll have the opportunity to expand the team's modeling capabilities across the demand and aggregation models to inform broader pricing and business mix decisions. 

About You:

You are a hands-on leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.

What You’ll Do:

• Lead a homeowners insurance modeling, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement 
• Own the design and annual build of our by-peril loss models
• Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance 
• Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
• Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
• Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment

Must Haves:

• Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
• 5+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
• Strong experience with loss cost modeling; exposure to demand, underwriting, and/or claims modeling
• Knowledge of actuarial principles as they relate to insurance pricing
• Advanced proficiency in Python and SQL
• Excellent communication skills and ability to build trust with stakeholders at all levels

Nice to Haves:

• Actuarial credentials - ACAS/FCAS
• Master’s degree in a quantitative discipline
• Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)

The base pay range for this role is $145,000- $160,000 for our Texas (Austin and Dallas regions). The SF Bay Area (and New Jersey) base pay range for this role is $155,000- $180,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations
• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), software engineers build the systems that connect generative models, scientific data, and experimental workflows into reliable, production-grade pipelines powering Lila's protein design and engineering campaigns.

We're hiring a Staff ML Engineer, Life Sciences AI to lead software infrastructure development for our protein design and engineering pipelines. This is a senior IC role focused on the engineering systems that surround and support our ML stack — pipeline orchestration, data flow between computational and experimental systems, integration of new tools and methods, and the developer experience that lets LSAI move fast on commercial partnership deliverables.

What You'll Be Building

• Architect and build software infrastructure powering Lila's protein design and engineering pipelines: orchestration, data flow, APIs, and integration with experimental systems.
• Own the engineering side of LSAI's "Lab-in-the-Loop" lifecycle — connecting computational outputs to experimental inputs and feeding results back into design workflows.
• Onboard new tools and methods developed by AI scientists and ML engineers into production-ready systems used in commercial partnership campaigns.
• Partner cross-functionally with ML researchers, scientists, and platform engineers to translate research code into reliable, scalable systems.
• Set engineering standards for LSAI software — design reviews, CI/CD, testing, observability, reproducibility — and mentor senior engineers as the team grows.
• Diagnose and resolve reliability, performance, and scaling bottlenecks in production pipelines supporting partnership deliverables.

What You’ll Need to Succeed

• Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field (or Bachelor's with equivalent professional experience).
• 8+ years of professional software engineering experience in Python (or comparable systems languages).
• Proven experience designing, building, and operating scalable production systems — APIs, data pipelines, orchestration, and cloud infrastructure.
• Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practices.
• Experience building or operating scientific or ML-adjacent infrastructure — workflow orchestration, experiment tracking, and reproducible pipelines.
• Hands-on experience with containerization, orchestration platforms, and infrastructure-as-code on a major cloud provider.
• Track record of leading technical direction across multiple systems and partnering deeply with research scientists or ML engineers to translate scientific needs into production engineering.

Bonus Points For

• Experience building infrastructure for protein design and engineering, antibody engineering, or other molecular ML applications.
• Familiarity with biological data formats and bioinformatics tooling.
• Experience integrating ML training/inference systems with broader product or scientific platforms.
• Open-source contributions to scientific computing or data infrastructure projects.

Location: San Francisco, CA (Hybrid) 

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance.

Key Responsibilities

• Lead End-to-End Data Science Projects: Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions.
• Statistical & Machine Learning Modeling: Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models) to support decision-making and enhance product capabilities.
• Analytics Engineering & Data Modeling: Perform complex data transformations and develop well-structured data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets.
• Software Development & Productionization: Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems in a cloud-based environment while leveraging AI coding tools to accelerate development.
• MLOps: Contribute to Verse’s machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production.
• Cross-Functional Collaboration: Partner with product, engineering, and business stakeholders to ensure models and insights are aligned with user needs and effectively integrated into workflows.

What We're Looking For (Minimum Qualifications)

• Master’s degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and 2+ years of professional experience in data science or machine learning; or
• Bachelor’s degree and 4+ years of professional experience in data science or machine learning
• Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation
• Experience deploying and maintaining models in cloud-based environments (e.g., AWS, GCP, or Azure) using MLOps practices
• Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Hands-on experience in orchestrating complex data transformations (e.g. Airflow, Dagster, dbt)
• Strong software engineering practices (version control, testing, code reviews, CI/CD)
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders

What Will Make You Standout (Preferred Qualifications)

• Experience in energy, climate tech, or related domains (not required)
• Familiarity with optimization methods or operations research
• Experience developing probabilistic forecasting models and quantifying uncertainty
• PhD in a quantitative field

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$146,000 - $172,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

• Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
• Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
• Software Development & Productionization: Integrate research outputs into Verse’s cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
• Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

• Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
• Bachelor’s degree and 2+ years of energy sector experience
• Solid foundations in machine learning and statistical modeling
• Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
• Familiarity with wholesale electricity market fundamentals and renewable energy technologies
• Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

• Direct experience with US or European wholesale electricity markets or utility tariff structures
• Experience with energy procurement, power purchase agreements, or risk management
• Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
• Foundational knowledge of mathematical optimization
• Experience shipping models to production in a commercial or research environment
• Experience developing probabilistic forecasting models and quantifying uncertainty
• A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

We are driven to create quality real-world data in ophthalmology, neurology, urology, and oncology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values.

Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA, D.C. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. 

Candidates based in the Bay Area, New York City, and Knoxville, Tennessee will be give priority consideration. For these locations, the position will follow a hybrid work model, with 3 days per week in office and the remaining days working from home. 

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

Job Title: Quantitative Scientist

Why This Role Matters:

The Quantitative Scientist will be responsible for executing and providing oversight and guidance on the analytical, statistical and epidemiological components of Verana research projects and data quality initiatives. The primary function of this role will be to conduct, guide, and manage the analytical execution of Verana research projects . The Quantitative Scientist will collaborate cross-functionally to build research capacity and adopt quality standards across Verana's business units.  This position requires an experienced individual with knowledge of statistics, ability to develop and review code with a solid understanding of coding best practices, a strong understanding of epidemiological study designs, as well as excellent communication and interpersonal skills.  In addition, you should be able to continually unearth and present interesting trends that have clinical, research, and business importance for our customers and oncology patients at large.  You will be joining a friendly, high performing and diverse research team with backgrounds in public health, health economics, biology, and statistics.  This role will report to the Vice President, Research.

WHAT WILL YOU GAIN

• Expertise in the oncology real-world data industry, a fast-growing segment of health data
• Experience executing oncology research and analytical/statistical methods to answer key questions for patients, providers, and life science companies

WHAT TO EXPECT IN YOUR FIRST YEAR AT VERANA:

In thirty days, you will:

• Understand the full suite of Verana’s research offerings and analyses
• Understand the research team’s GitHub repo and analysis template 

In three months, you will:

• Contribute to internal and external meetings related to Verana research and analyses
• Gain expert understanding of Verana’s data model  
• Implement clinical specifications on real-world data and add to the suite of functions available for analyses

In six months, you will:

• Personally execute analytical research projects
• Contribute to the development of project collateral, research protocols, abstracts, posters and manuscripts
• Guide and mentor data scientists and analysts 

In one year, you will:

• Lead the analytical execution of Verana’s research projects for life science, provider, and regulatory partners 
• Scope projects to determine feasibility, estimated costs, and expected timelines
• Provide guidance to Verana’s client partners in the use of Verana’s data model and analytical/statistical methodologies 

HOW YOU WILL IMPACT VERANA

• Lead the design and development of Verana research studies from a statistical and analytical perspective
• Contribute to the development of protocols and statistical analysis plans 
• Develop code and produce results as defined in protocols and statistical analysis plans
• Collaborate with physicians, statisticians, data scientists, business leaders, and others within and outside Verana to conduct research projects including observational studies, pharmacoeconomic analyses, and other relevant study types
• In partnership with the Research Team, communicate studies in progress and demonstrate results to key stakeholders through high quality abstracts, posters, and publications
• Manage and mentor a team of data analysts and data scientists, including reviewing code and analytical output
• Contribute to the evolution of Verana’s quality assurance framework, including identifying data quality issues during analysis
• Maintain current and in-depth understanding of real-world data analytical methodologies, along with the ability to lead and mentor internal team members in successfully executing them

WHAT YOU BRING TO THE TABLE

• Masters degree in computer science, statistics, applied math, econometrics, MPH, or similar quantitative field
• 3+ years of relevant research experience in the field of oncology (post-graduation)
• Experience working with real-world data sourced from electronic health records
• Experience analyzing claims data 
• Advanced knowledge of SQL, R programming, and version control (git)
• Deep understanding and experience with descriptive statistics, logistic and multivariate regression analysis, power calculations, propensity score analysis, and survival analysis
• Significant experience developing protocol documents, statistical analysis plans (SAPs), and manuscript tables and figures
• Evidences well-developed conceptual and integrative thinking with ability to access internal and external resources as needed 
• Project implementation and execution, including engagement with key stakeholders, with a high degree of autonomy
• Mentors junior analysts in HEOR and statistical analysis methodologies
• Excellent written and verbal communication skills
• Strong organizational and time management skills 
• Works well independently, as a team member, and as a team leader 
• Comfort working in a fast-paced, dynamic environment

NICE TO HAVE

• Experience implementing data science methodologies
• Understanding of data quality metrics and/or quality management systems

Benefits:

• We provide 100% health, vision, and dental coverage for employees 
• 401K Match
• Flexible vacation plans 
• $700 learning and wellness annual stipend 
• Headspace meditation app access

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

About the Role
Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented data scientists in a high-performance and high-impact culture.

What You’ll Accomplish

• Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings
• Design and execute experiments, interpret results, and draw actionable conclusions
• Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps
• Present findings to senior leadership to inform and influence business decisions
• Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production

Your Expertise

• Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Ability to use Python to work efficiently at scale with large data sets
• Advanced proficiency in SQL

Nice to Haves

• 4+ years of industry experience as an Applied or Data Scientist or equivalent
• Familiarity with advanced statistical inference, experimentation, and causal inference methods
• Econometric experience with pricing and promotion optimization
• Expertise in customer lifetime value modeling
• Experience in personalization systems and cross-sectional cohort modeling
• Background in operations research (e.g., scheduling or assignment problems)
• Knowledge of advanced topics in XGBoost modeling

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $250,000 - $300,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role

We are seeking a highly experienced and strategic Director to lead our Technical Accounting & Financial Reporting function. This role will play a pivotal role in maturing Flex’s accounting function through its next phase of growth, overseeing complex accounting matters, developing accounting policies, and ensuring the overall integrity of our financial statements in compliance with U.S. GAAP. This position will also be responsible for external financial reporting, including annual audits, statutory reporting, and potential SEC readiness efforts in the future. This is a hands-on, high-impact role that will work cross-functionally with a number of teams, including providing accounting guidance on significant business transactions to help leaders make well-informed decisions. The ideal candidate has exceptional GAAP technical knowledge, a clear future vision for a highly efficient and compliant financial reporting function, and is energized by the opportunity to build policies, processes and controls from the ground up. We’re looking for a leader who embodies resilience, ownership, and sound judgment, and can navigate comfortably in a fast-paced, high-growth Fintech environment. This position will report to the VP, Controller and will be located in one of our office hubs (NYC or SF) on a hybrid basis. 

What You’ll Do

Technical Accounting Leadership & Policy:

• Serve as the subject matter expert on all technical accounting matters including stock-based compensation (ASC 718), revenue recognition (ASC 606), loan accounting and credit losses (ASC 310/326), leases (ASC 842), debt (ASC 740) and business combinations (ASC 805).
• Drive the development, implementation, and maintenance of all corporate accounting policies in collaboration with the Controller, taking a hands-on and risk-based prioritization approach.
• Research, resolve and document complex accounting transactions in formal memos
• Educate and partner with Finance and Accounting teams on technical accounting matters to operationalize complex transactions and enable accurate forecasting and reporting.
• Work collaboratively with business partners to identify financial risks and accounting considerations associated with new or contemplated transactions, including new revenue streams and partnerships.
• Assist with month-end close activities for technical accounting areas, including the preparation and/or review of reconciliations.

Financial Reporting:

• Prepare audited financial statements, footnote disclosures, and supporting schedules - building a strong reporting foundation that can evolve with the company in the future
• Manage the external reporting calendar, coordinating with internal teams (legal, compliance, FP&A) and external partners (auditors, etc.) to ensure deadlines are met.
• Ensure successful delivery of entity-level financial statements to meet regulatory and lender reporting requirements.
• Identify opportunities to streamline and enhance reporting timelines, accuracy, and quality - drive both process improvement and automation through use of financial reporting tools
• Design and develop internal controls over the financial reporting process in preparation for SOX compliance, proposing solutions for identified segregation of duties and control gaps.
• Partner with Controller and other teams to architect future ERP system flows for all intercompany transactions, ensuring that both consolidate and entity level reporting needs are met.

Qualifications:

• Bachelor’s degree in Accounting, Finance, or related field
• Active CPA license in good standing
• 10+ years of progressive accounting experience, including a combination of Big 4 public accounting and technical accounting & reporting experience within a public.
• Prior experience in fintech, financial services, or a regulated industry is preferred, particularly within a high-growth environment.
• Proven expertise in U.S. GAAP, SEC regulations, and SOX compliance, with strong technical proficiency in the guidance sections noted above (ASC 718, ASC 606, ASC 310, ASC 326, ASC 740 and ASC 805)
• Demonstrated experience building and leading a technical accounting and reporting function from the ground up.
• Hands-on experience implementing and operating strong controls in a SOX-compliant environment.
• An orientation toward process and attention to detail, strong analytical and quantitative skills
• Proactive, self-motivated, and able to thrive in a dynamic, fast-paced pre-IPO environment with ambiguity and changing priorities. 
• Proven track record of effective communication at all levels of the organization, with a high level of self-awareness and humility, and excellent collaboration skills; ability to distill complex technical accounting topics down for all audiences 
• Experience as a skilled, thoughtful manager with an interest in mentoring and developing the members of their team
• Experience with ERP systems (e.g NetSuite, SAP), reporting tools (e.g. Workiva) and process / reporting automation.

Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 markets (NYC/ SF), the base salary pay range for this role is $200,000-$220,000. This will be a Hybrid role ( 2-3 days in office for NYC or SF)

For all other U.S. locations, Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the Tier 1 states listed above, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location

The Impact You’ll Be Contributing to Moloco: 

Moloco Commerce Media (MCM) 

• enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. MCM has established a strong product market with several leading marketplaces working with us to show relevant ads. 
• We’ve established our MCM’s product market fit with strong interest in our product. MCM is an important product that is key to Moloco’s continued success and is in a high growth phase. The science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a Senior Applied Scientist focused on ML in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. 

What You’ll Do:

• Conduct deep-dive analysis to influence R&D decisions and strategies: analyze large datasets, extract valuable signals out of noise, and design state of the art machine learning models to optimize Moloco’s complex bidding system. 
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. 
• Leveraging the latest advances in deep learning to evaluate and improve our search quality. 
• Build the right metrics for product areas and guide ramps with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.

Basic Qualifications:

• MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques. 
• 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.
• Experience with one or more programming languages including Python, Java or C++ 
• Past experience with ad-tech/ranking/retrieval and/or search quality is preferred.

Preferred: 

• 4+ years of experience (industry or postgraduate) in Data Science, with a heavy focus on experimentation and causal inference in a high-growth tech environment (AdTech  preferred).
• Demonstrated leadership and self-direction. Able to seek out new business questions and effectively scope projects to improve our ML model performance.