About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:
DV Trading is seeking an experienced, high-performing trader to deploy and scale profitable strategies on a best-in-class proprietary platform. This role is designed for individuals with a demonstrated ability to generate alpha who are looking for greater autonomy, access to capital, and a high-performance environment without the constraints of traditional institutions.

The platform supports a wide range of experience levels—from highly established traders who operate independently end-to-end, to developing traders who may benefit from support in areas such as research, technology, or execution. Resources across quant research, engineering, and infrastructure are available to help accelerate strategy development and growth.

Job Responsibilities:

• Independently manage and scale a proprietary trading strategy
• Develop, refine, and optimize models, signals, and execution frameworks
• Take full ownership of risk, positioning, and P&L
• Leverage DV’s technology, infrastructure, and support to expand your book
• Collaborate with traders, quants, and engineers to enhance strategy performance

Requirements:

• Minimum 2+ years of experience at a proprietary trading firm, hedge fund, or bank
• Demonstrated, consistently profitable trading strategy (all asset classes considered)
• Proven track record of live performance (beyond backtesting)
• Strong return on capital (ROC)
• Experience contributing to or leading successful trading teams
• Ability to communicate effectively across functions, including leadership, risk, compliance, engineering, and legal

Benefits: 

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the opportunity

We are seeking a Telecom Solutions Architect to serve as a trusted technical and business partner to our customers - understanding the requirements, aligning Wavelo’s solutions to their environments, and driving successful outcomes across the full engagement cycle. This role is designed to become a true trusted partner to customer business and IT groups. This role will participate in solution development, proposal generation and post-contract implementation.

In this role, you will work with Sales and account teams to create effective solutions for customers in the context of their specific environments, technical architectures and business objectives. Success at our company is defined not only by the attainment of business goals but also by our culture, diversity, and many dynamic, cross-functional teams, so we value authenticity, ownership, and the ability to deliver in collaboration! We're looking for candidates from a range of backgrounds who know how to get things done.

Job Duties

• Work collaboratively with Sales teams, Customer Success, Professional Services teams and Product Management to create customer specific solution proposals and support the sales and contracting process.
• Participate in customer facing discussions and presentations of the solution to instill confidence with the customer both in the proposed solution and in Wavelo’s ability to deliver.
• Remain engaged through implementation to adjust solution components as needed and maintain strong customer relationships throughout the delivery cycle.
• Collect and analyze feedback from customers, partners and other teams to inform and shape requirements, features for broader solutions.
• Participate in ongoing account “farming” for add-on opportunities.
• Champion customer needs across internal teams - including Marketing, Engineering, and Customer Support - to continually represent and refine potential solutions.
• Provide Industry knowledge for how we can best position our products and services in a highly competitive marketplace.

Knowledge, Skills and Abilities

Need to Have

• Broad knowledge of Telecom BSS/OSS architectures and solutions including emerging trends such as Agentic AI and 5G monetization strategies.
• Passion for understanding customer needs and the ability to pair this knowledge with solid data and outstanding design to elegantly resolve problems.
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom.
• Ability to lead, preferably with a consensus-based approach, and deliver in a matrix organization with multiple stakeholders.

Nice to have

• Self-starter with a results-oriented work style; strong ability to work independently.
• Demonstrates intellectual curiosity and the desire to learn new things, techniques and technologies.
• Excellent organizational, prioritization and communication skills, with a high level of attention to detail
• Ability to adapt communication style and language to meet the audience’s level of understanding.
• Strong creative thinking skills and an aptitude for effectively problem-solving, even under pressure.
• Proficiency in analytics, data management and dashboarding/reporting.
• Spanish language proficiency is a strong asset, particularly for supporting customer engagements in Spanish-speaking markets.

Qualifications Required

• Ideally, 10+ years of experience developing and deploying BSS/OSS solutions within the mobile app, web or telecom environment
• Background in software development and program management is preferred
• Experience with Agile software development methodologies and the ability to comfortably describe related technical concepts and capabilities

The base salary range for this position is $157,000 – $175,000 USD for US residents OR $146,000 – $162,000 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Learn more about Tucows Benefits.

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the opportunity

We are seeking a Telecom Solutions Architect to serve as a trusted technical and business partner to our customers - understanding the requirements, aligning Wavelo’s solutions to their environments, and driving successful outcomes across the full engagement cycle. This role is designed to become a true trusted partner to customer business and IT groups. This role will participate in solution development, proposal generation and post-contract implementation.

In this role, you will work with Sales and account teams to create effective solutions for customers in the context of their specific environments, technical architectures and business objectives. Success at our company is defined not only by the attainment of business goals but also by our culture, diversity, and many dynamic, cross-functional teams, so we value authenticity, ownership, and the ability to deliver in collaboration! We're looking for candidates from a range of backgrounds who know how to get things done.

Job Duties

• Work collaboratively with Sales teams, Customer Success, Professional Services teams and Product Management to create customer specific solution proposals and support the sales and contracting process.
• Participate in customer facing discussions and presentations of the solution to instill confidence with the customer both in the proposed solution and in Wavelo’s ability to deliver.
• Remain engaged through implementation to adjust solution components as needed and maintain strong customer relationships throughout the delivery cycle.
• Collect and analyze feedback from customers, partners and other teams to inform and shape requirements, features for broader solutions.
• Participate in ongoing account “farming” for add-on opportunities.
• Champion customer needs across internal teams - including Marketing, Engineering, and Customer Support - to continually represent and refine potential solutions.
• Provide Industry knowledge for how we can best position our products and services in a highly competitive marketplace.

Knowledge, Skills and Abilities

Need to Have

• Broad knowledge of Telecom BSS/OSS architectures and solutions including emerging trends such as Agentic AI and 5G monetization strategies.
• Passion for understanding customer needs and the ability to pair this knowledge with solid data and outstanding design to elegantly resolve problems.
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom.
• Ability to lead, preferably with a consensus-based approach, and deliver in a matrix organization with multiple stakeholders.

Nice to have

• Self-starter with a results-oriented work style; strong ability to work independently.
• Demonstrates intellectual curiosity and the desire to learn new things, techniques and technologies.
• Excellent organizational, prioritization and communication skills, with a high level of attention to detail.
• Ability to adapt communication style and language to meet the audience’s level of understanding.
• Strong creative thinking skills and an aptitude for effectively problem-solving, even under pressure.
• Proficiency in analytics, data management and dashboarding/reporting.
• Spanish language proficiency is a strong asset, particularly for supporting customer engagements in Spanish-speaking markets.

Qualifications Required

• Ideally, 10+ years of experience developing and deploying BSS/OSS solutions within the mobile app, web or telecom environment
• Background in software development and program management is preferred
• Experience with Agile software development methodologies and the ability to comfortably describe related technical concepts and capabilities

The base salary range for this position is $157,000 – $175,000 USD for US residents OR $146,000 – $162,000 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Learn more about Tucows Benefits.

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

The Role

Fairmarkit's PMM function is yours to build. As the only dedicated Senior Product Marketing Manager, you'll own positioning, messaging, launches, and enablement for our autonomous sourcing platform and supplier marketplace.  You will operate as a solo IC who punches well above their weight through systems thinking and AI-native execution. You're not here to support a function. You're here to define it.

You'll translate advanced AI and agentic capabilities into clear, differentiated value for two distinct audiences: the procurement leaders buying smarter, and the suppliers competing to win their business. You're the connective tissue between R&D and go-to-market. When a new capability ships, you decide how the world hears about it. When a deal stalls, Sales reaches for the asset you built. 

This is a great opportunity to step into a high-ownership role in a category AI is actively reshaping. 

What You'll Do

• Establish and continuously sharpen positioning and messaging for Fairmarkit's autonomous sourcing platform and supplier marketplace, — tailored to CPOs, procurement leaders, and finance stakeholders on the buyer side, and to supplier relationship and business development teams on the supply side
• Build AI-native PMM workflows from the ground up: use LLMs, automation, and purpose-built tooling to produce high-quality content, run research, and keep pace with a fast-moving product org without sacrificing depth
• Lead end-to-end go-to-market for new features and major launches — from narrative and packaging through naming, pricing input, launch plans, and post-launch analysis
• Partner closely with Product to influence the roadmap using customer, market, and competitive insights, especially around agentic AI use cases, UX, and procurement workflows
• Build and maintain core messaging frameworks, battlecards, and objection-handling guides; enable Sales and Customer Success through trainings, playbooks, and ongoing deal support
• Collaborate with Demand Gen, Brand, and ABM to develop integrated, product-led campaigns that drive pipeline, win rate, and expansion in target accounts
• Own core customer-facing assets including— decks, one-pagers, explainer pages, release notes, in-app education — for both buyers and suppliers, clearly communicating new capabilities and driving adoption across the marketplace
• Conduct market, buyer, and competitive research on procurement technology, source-to-pay, and AI/agentic platforms to identify whitespace and sharpen differentiation
• Champion the voice of the customer: synthesize qualitative and quantitative feedback from both procurement teams and suppliers into insights that shape product strategy, messaging, and sales motions
• Collaborate with product to define and track PMM success metrics — launch performance, feature adoption, content usage, win rates, and segment-level impact — and use data to iterate

What You'll Bring

• 7+ years of B2B product marketing experience, including meaningful ownership of enterprise SaaS and/or AI products
• Demonstrated success building or inheriting a PMM function with outsized results. Clearer positioning. Better adoption. Higher sales confidence.
• Strong storytelling instincts: you translate complex AI capabilities into crisp, outcome-focused narratives that land with stakeholders
• Compelling communicator: you present with confidence, build executive-ready decks, and know how to land a point in a room full of skeptics
• AI-native by default: you already use LLMs, automation, and AI tools as core parts of your workflow — for research, drafting, segmentation, competitive analysis, and more. 
• Proven track record enabling Sales and Customer Success with content, training, and deal support in a high-velocity or enterprise sales motion
• Analytical mindset with comfort using data to size opportunities, segment audiences, and measure GTM performance across CRM, marketing automation, and product analytics.
• Operationally sharp: you simplify complex workstreams, keep cross-functional projects on track, and hold teams accountable without friction
• Compelling communicator: you write with clarity, present with confidence, and know how to land a narrative in a room full of skeptics

Huge bonus: experience in procurement, supply chain, or financial operations. If you've marketed to CPOs and sourcing leaders, or know tools like SAP Ariba, Coupa, or Workday Sourcing, you'll hit the ground running. 

Life at Fairmarkit

We're a remote-first team that's built culture intentionally. People here stay because the work is genuinely interesting, the mission has real stakes, and the team pulls together. Here's what that looks like in practice:

• Remote-first, flexible work
• Competitive and equitable pay + equity
• Strong benefits and wellness program
• Work-from-home stipend
• Real growth and development opportunities
• Direct ownership and impact from day one

Procurement is one of the last major enterprise functions being transformed by AI. We're the ones doing it,  — and this role is in the middle of it.

Compensation

For this role you need to reside in one of the following states:  Colorado (CO), Florida (FL), Georgia (GA), Illinois (IL), Indiana (IN), Maryland (MD), Massachusetts (MA), Montana (MT), New Hampshire (NH), New Jersey (NJ), New York (NY), North Carolina (NC), Ohio (OH), Pennsylvania (PA), Rhode Island (RI), Texas (TX), or Washington (WA).

The annual base salary for this role is $160,000 - $180,000, depending on experience and location, plus equity and benefits.

Job Summary

The Manager, Issue Resolution is a key leadership role responsible for leading a high-performing team dedicated to resolving escalated issues and closing the gap between internal, external, and vendor stakeholders. Reporting to the Director of Policyholder Services, this position ensures service issues are resolved in an efficient, effective, and customer-focused manner and serves as the team’s primary escalation path. The Manager, Issue Resolution (IR) is responsible for oversight of internal and external issues, driving continuous improvement in processes, systems, and reporting and trending, aligning team behaviors to meet business area and company goals.

A high level of collaboration with senior and executive stakeholders is required in influencing change opportunities in their respective areas based on IR data and analysis. The Manager is expected to bring rigor to data capture, trend analysis, and performance reporting, translating insights into actionable recommendations for senior and executive leadership. The ability to manage competing priorities in a dynamic environment is essential, as is a continuous improvement mindset and strong people leadership to build and scale the IR program as the business evolves.

Duties & Responsibilities

• Tracks issue resolution trends, reporting insights, and tool metrics to drive accurate and high-quality Issue Resolution outcomes
• Identifies root causes of recurring issues and leads or partners with cross-functional teams, including Business Controls as appropriate, to implement corrective actions and prevent recurrence
• Collaborates with and influences business owners in identifying and supporting Continuous Improvement (CI) opportunities in their respective areas, translating IR root cause trends into actionable improvements
• Implements and continuously improves tools (processes and systems), reporting, and metrics to drive high-quality issue resolution; regularly communicates trends to senior and executive leadership
• Understands key operational processes across Operations business areas to effectively oversee issue resolution activities, assess issue impact and sensitivity, and provide informed guidance to the team and stakeholders
• Serves as the team’s primary escalation path, representing executive leadership in high-profile, escalated issues as a trusted and accountable point of contact across internal and external stakeholders, including top production agents and sales partners.
• Collaborates with the leadership and analytics teams to inform and advance strategy for Issue Resolution
• Develops and maintains sustainable processes, data capture methodologies, and systems to support program scalability and long-term effectiveness
• Assesses and communicates program scalability opportunities to senior leadership, providing recommendations that support the evolution of the IR function
• Designs and documents processes that deliver customer-focused solutions while mitigating risk and maintaining compliance with industry trends and regulations
• Partner with Compliance in supporting official complaint handling
• Ensures smooth transitions between involved teams by evaluating and optimizing tools and processes with third-party administrator (TPA)
• Drives continuous process improvement and cross-functional problem solving using internal metrics and analytics and industry best practices
• Manages team training and development and procedure enhancement to support timely issue resolution
• Tracks individual and overall team performance through quantitative and qualitative measurements; provides ongoing feedback, coaching, and direction to develop team capability
• Monitors daily operations; revises and enhances staffing policy, collaborates with operations leaders on capacity and demand modeling
• Performs other functions, duties and projects as assigned

Supervisory Responsibilities: This role has people leadership responsibilities, including managing performance, developing talent, and supporting engagement and team effectiveness.

Minimum Qualifications

• Bachelor's Degree in business administration, finance, marketing, or related field
• 7+ years general business experience with experience in life, annuity, and/or disability claims
• 7+ years experience in Customer Service, Issue Resolution work, direct resolution with customer
• 3+ years people leadership experience
• Life insurance certifications (e.g., LOMA, ICA) preferred

Other Requirements

• This position primarily involves sedentary work, requiring long periods of sitting, regular use of a computer, and occasional standing or walking, with reasonable accommodations available.
• Perform other functions, duties and projects as assigned
• Regular and punctual attendance

#LI-JB1

#LI-Remote

Pulmovant is a Roivant-backed clinical-stage biotechnology company developing innovative therapies for patients suffering from pulmonary diseases. Pulmovant’s first program, mosliciguat is designed to provide an effective, once-daily, inhaled treatment option for patients with pulmonary hypertension (PH). Mosliciguat is a novel, potential first-in-class, sGC activator with a differentiated mechanism that may have broad applicability across the PH spectrum.

Mosliciguat has been extensively characterized across a robust Phase 1 program with 170 participants dosed to date including patients with PH in the Phase 1b ATMOS study which has produced highly compelling and clinically meaningful efficacy data, as well as a favorable safety profile. Pulmovant recently completed enrollment in the Phase 2 PHocus study evaluating mosliciguat in patients with pulmonary hypertension associated with interstitial lung disease (PH-ILD), with topline data expected in the second half of 2026. Mosliciguat is also being evaluated in the Phase 2 PHactor study in combination with inhaled treprostinil in patients with PH-ILD.

As part of the Roivant family of companies, Pulmovant leverages the power of collaboration and innovation to drive progress.

For more information, please visit https://www.pulmovant.com.

About Roivant:

Roivant specializes in developing transformative medicines at an accelerated pace through the launch of nimble biopharmaceutical and health technology entities, each meticulously tailored to address a specific medical need. Since its inception in 2014, Roivant has achieved the following critical milestones in support of its vision: built over 20 Vants; 12 consecutive positive Phase 3 trials; 8 FDA approvals; 5 successful IPOs; >$6B in capital raised; >$10B in global pharma partnerships and proceeds; and continued pipeline expansion across various modalities and therapeutic areas through in-licensing and acquisition of novel product candidates and technology platforms.  In addition to a robust clinical stage pipeline, Roivant also incubates discovery-stage companies and health technology startups complementary to its biopharmaceutical business.

Position: Senior Director / Head of Biometrics

Summary:

Pulmovant is seeking an accomplished biostatistician to lead the Biometrics function. This individual will own and build the Biostatistics and Statistical Programming functions, providing strategic and operational leadership across all of Pulmovant’s clinical development programs.

This is a high-impact opportunity at a pivotal moment for the company. With enrollment recently completed in the Phase 2 PHocus study of mosliciguat in PH-ILD and topline results expected in the second half of 2026, the Head of Biometrics will play a critical role in shaping the analysis, regulatory strategy, and registrational path for a potential first-in-class inhaled sGC activator. The successful candidate will partner closely with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and external CROs to deliver high-quality, regulatory-grade biometrics deliverables and to scale a fit-for-purpose function as the pipeline advances.

Key Duties and Responsibilities 

• Lead, build, and oversee the Biostatistics and Statistical Programming functions, establishing standards, processes, and infrastructure to support a growing pipeline.
• Serve as the senior biostatistical leader across Pulmovant’s programs, including the Phase 2 PHocus and PHactor studies of mosliciguat in PH-ILD, and future late-stage and registrational studies.
• Provide strategic statistical input into protocol design, sample size justification, statistical analysis plans (SAPs), and integrated analyses (ISS/ISE) supporting regulatory submissions.
• Review data quality, completeness, and key derivations
• Review and provide feedback and QC on TLF shells and outputs
• Ensure deliverables meet SAP specifications and quality standards
• Confirm readiness of TLR package for internal/external use
• Partner with Clinical Development, Regulatory Affairs, and Clinical Operations to define endpoints, estimands, and analysis strategies aligned with FDA, EMA, and other global health authority expectations.
• Oversee CRO biostatistics and statistical programming deliverables, ensuring quality, timeliness, and adherence to CDISC (SDTM/ADaM), FDA, and ICH E9/E9(R1) standards.
• Lead preparation of biometrics components of regulatory submissions (IND, EOP2, NDA/MAA) and represent Pulmovant in interactions with FDA and other agencies.
• Drive innovative analytical approaches, including adaptive designs, Bayesian methods, and use of historical or external controls where appropriate for a rare-disease setting.
• Build and lead a high-performing team of biostatisticians and statistical programmers; mentor staff and shape the talent strategy as Pulmovant scales.
• Support data monitoring committees (DMCs), trial steering committees, and key opinion leader engagements.
• Contribute to publications, scientific communications, and conference presentations of clinical trial results.

Education and Experience 

• PhD in Biostatistics, Statistics, or a closely related quantitative field (MS with extensive industry experience may be considered).
• 12+ years (Senior Director) or 15+ years (Vice President) of biostatistics experience in the biopharmaceutical industry, including significant time leading biostatistics across late-stage development and regulatory submissions.
• Demonstrated experience leading both Biostatistics and Statistical Programming functions, including oversight of CRO partners.
• Track record of leading biostatistical strategy through successful regulatory interactions and submissions (IND, NDA/BLA, MAA); FDA submission experience required.
• Prior experience in pulmonary, cardiovascular, rare disease, or interstitial lung disease therapeutic areas is strongly preferred; experience with PH or PH-ILD a plus.
• Experience working in a small or mid-cap biotech and operating effectively in a lean, fast-paced environment.

Essential Skills and Abilities 

• Deep expertise in statistical methodology for clinical trials, including adaptive designs, longitudinal/mixed models, survival analysis, missing data, and estimands per ICH E9(R1).
• Working knowledge of statistical programming in SAS and R; expert understanding of CDISC (SDTM, ADaM) standards and submission deliverables.
• Strong regulatory acumen and ability to translate complex statistical concepts into clear narratives for regulators, executives, and clinical partners.
• Proven leadership and people-management skills; ability to attract, develop, and retain top biometrics talent.
• Excellent written and verbal communication skills, with comfort presenting to executives, regulators, DMCs, and external KOLs.
• Strategic mindset paired with a hands-on willingness to operate at all levels in a small-company setting.
• Strong cross-functional collaboration skills with Clinical Development, Clinical Operations, Data Management, Regulatory, and Medical Affairs.
• Proficient in vendor and CRO management, with proven ability to drive quality and timelines.
• High personal integrity, scientific rigor, and unwavering commitment to patients.

Pulmovant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We will not accept unsolicited resumes nor outreach from agencies. Please do not send agency resumes to our website or Roivant Sciences and affiliated employees. Thanks!

About the role

As a BizOps Associate at Grüns, you will apply strategic skills combined with your quantitative abilities and experience in data-driven analysis to drive growth, improve the bottom line, and surface new opportunities. You will work closely with talented, driven leaders across different departments to develop and test new strategies. You will actively influence product design and acquisition strategy to deliver compelling value to the customer while optimizing for the P&L. This role reports directly to Director, BizOps.

This role is part of our remote HQ! We have a fully remote, high-trust work environment - and also come together on a biannual basis for amazing off-sites where we can connect IRL.

In this role, you will:

• Identify business challenges and opportunities for improvement and leverage data in a creative and analytical manner to make strategic or tactical recommendations.
• Involve problem frameworks; develop hypotheses, tests, and analysis to inform solution development; lead implementation efforts; and develop monitoring plans for successful execution of projects.
• Build and navigate data comfortably to solve key business problems, answer ad hoc requests, and report on key metrics for needs both within the Finance team and across the business to key stakeholders.
• Develop & maintain financial models to forecast financial impact of new strategies, opportunities, and risks and measure actual performance against forecasts.
• Perform modeling/analytics to assist new product and pricing strategies.
• Support direct-to-consumer marketing efforts, evaluate new channels, and optimize existing strategies.
• Identify and refine KPI metrics to target to monitor business performance and improvement.

We're looking for someone who has:

• BS/MS Degree in a quantitative or computational field
• 4+ years experience in data analytics in corporate, consulting, or investment banking
• Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear, concise insights and recommendations through strong data-driven analyses
• High proficiency with Excel/Google Sheets and PowerPoint/Google Slides
• Expertise with SQL, with R and/or Python knowledge preferred
• Exceptional thought partnership skills, able to own direct relationships with stakeholders and build credibility through clarity and judgment
• Strong statistical skills and intuition for solving problems in both consumer-facing and internal product areas
• Experience with Cloud Computing (Google Cloud) platforms preferred

To Apply: 

Please enter your info and share a bit about yourself with us below. We ask that you do not use Chat GPT or similar tools to answer these questions, as it is our hope to genuinely get to know you and the way you communicate and think! We do love integrating these tools into our work though, and you’ll hear plenty more about that if you join us.

Compensation & Benefits:

At Grüns, we're committed to providing a competitive total compensation package — grounded in market data that considers our size, stage, industry, and location. For this role, the base salary range is $120,000-$135,000 depending on experience, paired with a comprehensive benefits package designed to support the well-being and growth of our team.

Job Summary

The Director, Life & Annuity Claims provides operational leadership and oversight of F&G's Claims department. Reporting to the AVP, In-Force Services, this role is responsible for delivering service excellence to claimants, agents, and other stakeholders by driving claims processes that meet defined performance metrics and regulatory requirements.

The Director owns the day-to-day operational effectiveness of the Claims function, with accountability for team performance, quality, governance, and compliance. This includes providing technical leadership on complex and high-risk claims, including contestable and accelerated benefit claims, and ensuring unresponsive claims are handled in accordance with unclaimed property and escheatment guidelines. The Director partners closely with legal, underwriting, call center, TPA partners, and other internal stakeholders to maintain strong cross-functional relationships and resolve escalated issues.

A key focus of this role is continuous improvement: the Director is expected to proactively identify and lead initiatives that advance process efficiency, technology utilization, and team capability. The Director also plays a critical role in developing and maintaining a culture of accountability, transparency, and development-focused coaching at all levels of the department.

Description

• Oversee all aspects of the Claims function, ensuring operational compliance with state and industry regulations.
• Develop and present to AVP leadership an operational plan that balances workload management, staff development, and process optimization goals.
• Model and maintain a strong culture of accountability and transparency at all levels of the department, taking ownership of decisions, outcomes, successes, and challenges.
• Build and maintain high-performing claims leadership and examiner teams, fostering a culture of development-focused coaching and holding leaders accountable for team performance through quantitative and qualitative measurements.
• Oversee quality review and control processes for all claims activities.
  • Ensure appropriate claims governance, including authority levels, escalation protocols, and proactive identification and mitigation of risk issues or events to minimize impact and recurrence.
• Provide technical leadership on complex claims, including contestable and accelerated benefit claims, ensuring this high-risk function is managed effectively and accurately.
• Ensure unresponsive claims are processed timely under unclaimed property/escheatment guidelines, satisfying regulatory requirements.
  • Partner with claims leadership, legal, and other stakeholders to ensure timely response to appeals of adverse claim decision and consumer and insurance department complaints.
• Build and maintain effective relationships with internal stakeholders and external partners, including TPA oversight, for claims reporting, payment processing, and service delivery.
• Proactively identify and lead initiatives across the Claims organization, including workload strategies, process improvements, and technology advancements that drive efficiency and effectiveness.
• Ensure proper development and maintenance of standard process documentation and job aids, cultivating a culture of continuous improvement where materials are updated as changes are implemented.
• Prepare claims operations reports that highlight trends, performance against metrics, and key opportunities, providing data-driven insights to support leadership decision-making.
• Report regularly to the AVP on claims team performance, escalated issues, and operational risks.
• Monitor Claims expenses to ensure good stewardship of company resources.

Supervisory Responsibilities:  This role has people leadership responsibilities, including managing performance, developing talent, and supporting engagement and team effectiveness.

Minimum Qualifications

• Bachelor's Degree
• 8+ years life, annuity, and/or disability claims experience, including demonstrated expertise in contestable and accelerated benefit claims
• 3+ years of experience leading teams in a claims environment, with preference for experience managing other leaders
• Demonstrated experience managing relationships with external partners or TPAs, ensuring accountability and service delivery standards are met
• LOMA designations and/or formal process improvement training (e.g., Six Sigma, Lean) strongly preferred

Other Requirements

• This position primarily involves sedentary work, requiring long periods of sitting, regular use of a computer, and occasional standing or walking, with reasonable accommodations available.
• Perform other functions, duties and projects as assigned
• Regular and punctual attendance

#LI-JB1

#LI-Remote

The AVP, VA Financial Reporting Actuary Manager role is a key role that leads, delivers and directly participates in the key deliverables of the Variable Annuity financial reporting team. The role is responsible for executing all aspects of US statutory / tax and US GAAP reserves and financial reporting for the VA block, as well as Cash Flow Testing, stress testing and EV/Strategic Plan projections. The role includes delivery and communication of results to outside stakeholders and it is generally expected that ownership of key reporting projects within the VA financial reporting team will be split amongst the AVP positions. The AVP, VA Financial Reporting Actuary Manager is also responsible for managing a team, leading and developing a high-performing team while ensuring alignment with organizational strategy through proactive coaching, succession planning, and cross-functional collaboration.

This role will be based inremotely.

What You Will Do:

• Prepare timely and accurate reporting of US GAAP reserves.
• Prepare timely and accurate reporting of US statutory reserves, tax reserves and all required statutory filings.
• Support the CFT process and analysis.
• Prepare timely and accurate reporting of RBC Stress Testing sensitivities, as well as EV and Strategic Plan projections.
• Develop and enhance results analysis and attribution for each reporting basis.
• Execute controls and governance processes.
• Support Finance by providing information and exhibits needed for financial reporting.
• Support other functional areas and management on information requests and initiatives as needed.
• Support the evaluation and potential integration of future acquisitions.
• Own the growth, performance, and future readiness of team members through structured development planning, coaching, and succession management.

What You Will Have:

• An undergraduate degree is required with preference for mathematic, actuarial sciences, and other quantitative fields.
• This individual will be a Fellow of the Society of Actuaries (FSA) or an Associate of the Society of Actuaries (ASA) with 7+ years of experience.
• 7+ years of actuarial experience in the Life and Annuity insurance industry with a minimum of 3 years in variable annuity valuation and financial reporting.
• Experience and proficient knowledge in US Statutory or US GAAP accounting frameworks for variable annuities.
• Proficient knowledge with VA products and familiarity with VA modeling.
• Proven track record of successfully owning financial reporting deliverables and improving process efficiency.
• Demonstrated success working in collaborative teams and in working with cross-functional teams and senior management.
• Demonstrated leadership, with the ability to direct and lead members of the team.

#LI-Remote

The Assistant Vice President (AVP) M&A & Reinsurance Risk Analyst is responsible for supporting the identification, assessment, monitoring, and mitigation of reinsurance transaction risks within the organization. This role involves working closely with pricing actuaries, corporate development, investments, and other functions to evaluate proposed reinsurance transactions. Through effective, in-depth challenge, this role will assure all key risks are identified and disclosed, assumptions are reasonable, pricing models are accurate, and transaction governance requirements are followed. The AVP will advise the SVP Life & Annuity Risk Officer and the Fortitude CRO on transactions prior to submission of offers.

This position will report into the SVP, Life & Annuity Risk Officer and will be an experienced technical contributor playing a key role in the risk oversight of Fortitude Re’s life and annuity reinsurance transactions.

This role will be based remotely.

What You Will Do:

• Review transaction documents including deal information memorandum, appraisals, product profiles, contracts, experience studies, and other materials associated with prospective transactions.
• Review pricing assumptions and internal underwriting diligence.
• Review the analysis of cedants’ experience to ensure sufficient diligence was performed, data is credible, and proper controls were employed in setting assumptions.
• Review investment strategies and their inherent risks in light of liabilities in a given transaction.
• Ensure pricing assumptions are reasonable in light of cedant’s experience, company experience, industry experience, and professional judgment.
• Validate pricing models and results.
• Review pricing model design, results, and the peer review (challenger) process.
• Recommend sensitivity and stress tests and evaluate their impacts.
• Perform independent validation of pricing models in their entirety or specific pricing results, including the development of replication models where necessary.
• Identify, assess, and communicate deal risks.
• Risks include, but are not limited to, actuarial assumption risk, investment risks (credit, ALM, liquidity), operational risk, regulatory and tax risk, and expense risk.
• Evaluate proposed risk mitigation strategies and their potential effectiveness.
• Document risks for management presentations and in ERM risk memorandums.
• Advise SVP L&A Risk Officer and CRO on deal economics and risks in advance of bid decision making.
• Ensure full compliance with the company’s transaction and pricing governance standards.

What You Will Have:

• Bachelor’s or advanced degree in actuarial science, mathematics, statistics, engineering, or comparable program of study.
• A minimum of 7 years of relevant insurance experience. Insurance product pricing experience is preferred, but not required, as diverse actuarial experience is invaluable. See key skill sets below for more information on experience needs.
• Fellow of the Society of Actuaries (FSA) or comparable accreditation is preferred. Career ASAs with very strong experience will be considered. 
• Quantitative risk management experience (such as investment management or quantitative finance) with sufficient applied insurance background will also be considered.
• Effective written and verbal communication skills.  
• Candidates must be able to collaborate effectively with others and quickly disseminate information. 
• Candidates must have a strong foundation of technical knowledge pertaining to life insurance and/or annuity products and their inherent risks.
  • Understanding diverse insurance product designs, product pricing principles, and ALM is critical.
  • Experience with pricing or other applied insurance ALM modeling is important.
  • Applied experience with Bermuda and/or Solvency II accounting and capital frameworks is a plus but is not required.
  • The company will consider candidates with varied backgrounds such as risk management, valuation, modeling, or pricing.
• Candidates should be inquisitive and active learners that seek to grow their understanding in all they do.
  • The nature of this role involves evaluation of diverse, often complex or incomplete, financial information.
  • Having the ability to independently analyze and draw insightful conclusions from such situations is critical to the role. 
  • The nature of this role may also require analytical research of technical and sometimes theoretical matters, where information is lacking, and expert judgment is required.
• Candidates should have technical proficiency in actuarial calculations, analyses and models. 
  • Candidates for this role should have well-developed modeling skills with the ability to use / review work in current actuarial software platforms such as AXIS, MG ALFA, or comparable.
  • In addition, candidates should have the ability to develop solutions as needed in programming and/or database languages to perform analyses. 
  • Proficiency in one or more of the following is required: Python, VBA, SQL, C, or similar.  

#LI-Remote

• Create and execute role-play–based evaluation scenarios that simulate realistic customer service interactions across multiple domains, including:
  • Flight bookings and travel support
  • Financial services
  • Telecommunications and technical support
• Contribute to the development of diverse and representative datasets used to assess conversational audio agents.
• Evaluate model performance across a standardized set of qualitative and quantitative metrics.
• Ensure evaluations reflect real customer expectations for clarity, efficiency, and natural conversational flow.

• Task completion accuracy and efficiency
• Conversational naturalness (tone, flow, and coherence)
• Audio comprehension and response quality
• Instruction adherence and contextual understanding
• Basic computer programming literacy, including:
  • Understanding of JSON structures
  • Familiarity with functions and methods
  • Ability to reason about structured data and simple logic
• Technical communication clarity when handling support-style problem-solving

• Strong verbal communication skills in a simulated customer support context
• English proficiency including fluency across all language skills: reading, listening, writing, and speaking.
• Access to a high-quality microphone to ensure clean, reliable audio input during evaluations
• Comfort working with structured prompts, evaluation rubrics, and technical guidelines
• Device capable of running audio recording software and opening large technical documentation

We offer a pay range of $11-to- $30.65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

• Create and execute role-play–based evaluation scenarios that simulate realistic customer service interactions across multiple domains, including:
  • Flight bookings and travel support
  • Financial services
  • Telecommunications and technical support
• Contribute to the development of diverse and representative datasets used to assess conversational audio agents.
• Evaluate model performance across a standardized set of qualitative and quantitative metrics.
• Ensure evaluations reflect real customer expectations for clarity, efficiency, and natural conversational flow.

• Task completion accuracy and efficiency
• Conversational naturalness (tone, flow, and coherence)
• Audio comprehension and response quality
• Instruction adherence and contextual understanding
• Basic computer programming literacy, including:
  • Understanding of JSON structures
  • Familiarity with functions and methods
  • Ability to reason about structured data and simple logic
• Technical communication clarity when handling support-style problem-solving

• Strong verbal communication skills in a simulated customer support context
• English proficiency including fluency across all language skills: reading, listening, writing, and speaking.
• Access to a high-quality microphone to ensure clean, reliable audio input during evaluations
• Comfort working with structured prompts, evaluation rubrics, and technical guidelines
• Device capable of running audio recording software and opening large technical documentation

We offer a pay range of $11-to- $30.65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

Essential Duties and Responsibilities:

Customer & Market

• Lead rigorous customer discovery using Steve Blank’s Customer Development methodology — get out of the building, run structured interviews, and change the roadmap based on evidence
• Maintain a current, structured view of the competitive landscape and translate competitive signals into roadmap decisions
• Evangelize the product vision externally — at conferences, with analysts, with strategic customers, and with the Board
• Represent Medrio’s SMB clinical trial customers as the company’s chief customer advocate at the ELT

Product Craft

• Own the product roadmap — build and defend an evidence-based vision that balances new products, existing product health, and technical debt
• Drive an AI-forward product strategy: identify where AI creates distinct, defensible SMB value and ship AI-native features to market
• Prioritize deployment speed and ease of use as primary differentiators; resist feature creep from large-customer requests that distract from the core SMB product
• Use quantitative analytics — usage data, funnel analysis, retention metrics — to inform every significant product decision
• Own product release and design processes; define how features move from concept to launch in alignment with engineering’s Definition of Done
• Lead the User-Centered Design function; coach PMs and designers to produce genuinely validated, user-centered product experiences

Stakeholder & Influence

• Build a trust-based working relationship with the VP of Engineering — align on roadmap tradeoffs, share accountability for launch outcomes
• Align Engineering, Sales, Marketing, and Customer Success around a shared product direction without direct authority over those functions
• Present product strategy to the Board of Directors and investors; handle tough questions about roadmap tradeoffs and competitive positioning
• Collaborate with Sales and Customer Success on go-to-market strategy, pricing, and customer feedback loops

People Leadership

• Lead a mixed org of PM managers, senior PMs, and principal designers simultaneously with different accountability structures and career conversations for each layer
• Build an A-player product team through structured performance management, active recruiting, and deliberate talent development
• Own the product and UX opex budget; make investment tradeoffs proactively and with data

SMB Market Focus

• Position Medrio as the fastest-to-deploy, easiest-to-use platform in the SMB clinical trial market
• Build capabilities that differentiate Medrio with SMB customers — fast build/update cycles, ease of use, rapid time to value

Customers 

• CEO and Executive Leadership Team
• Board of Directors (as needed)
• VP of Engineering and engineering leadership
• Product Management and User-Centered Design teams
• Sales, Marketing, and Customer Success
• Customers, CROs, and strategic external partners

Education and Years of Experience:

• Bachelor’s degree in a relevant field — business, computer science, design, life sciences, or equivalent (Master’s degree preferred)
• 10+ years in product management, including 5+ years in a VP-level or equivalent product leadership role
• Demonstrated experience leading a mixed org — both PM managers/directors AND senior ICs (principal PMs or designers) reporting directly
• Track record of developing product leaders and senior ICs — expanding scope, increasing responsibility, and building capability over time
• Demonstrated success launching multiple SaaS products from concept through market adoption
• Direct experience practicing structured customer discovery (Steve Blank’s methodology or equivalent)
• Proven track record of shipping AI-native or AI-enhanced product features
• Demonstrated ability to present product strategy to a board of directors or equivalent investor audience
• Experience using quantitative analytics (usage data, funnel metrics, retention) to inform product decisions
• Product budget ownership — opex planning, investment tradeoffs, vendor decisions
• Life sciences or clinical trial industry experience preferred; GxP and 21 CFR Part 11 familiarity strongly preferred

Working Conditions: Remote home office. Standard office conditions. Occasional domestic and international travel for customer visits, conferences, and analyst meetings.

Other Skills and Abilities:

• AI for cloud software development and AI-native product strategy
• Steve Blank’s Customer Development methodology
• Lead, manage and hold accountable (LMA) according to Medrio standards (scorecards, people analyzer, etc.)
• Deep knowledge of clinical trial workflows, regulations (Part 11, GxP), and the purchasing process of CROs versus sponsors
• Proficiency in product analytics tools and quantitative decision-making
• User-centered design principles and experience leading a UX function
• External evangelism — conference speaking, analyst relations, or media presence
• Ability to self-serve using JIRA and related product management systems of record

About Medrio:

At Medrio, we look for smart, capable, and conscientious people to help us expand our product capabilities, grow our business, and better serve our customers. Our employees love working for us because they get to develop, market, and sell a product that advances human health, and they enjoy many perks, including

• Great benefits: We offer medical, dental, vision, and life/LTD insurance, and we cover 100% of our employees’ health insurance premiums and 50% of dependent premiums.
• Wellness: Medrio values our staff’s well-being. To prove it, we promote an atmosphere of work/life balance, including flexible work schedules and locations.
• Weekly company-wide standup.

The Medrio team is made up of individuals with a wide array of skills and interests, but all have a passion for providing the best possible user experience for our customers. We value collaboration, ingenuity and creating a culture of excellence!

Salary Range: $240,000 - 260,000 USD

To see detailed information on the data we collect during the application process, and how Medrio complies with data privacy laws, visit our Careers page.

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. 

About this team and role:

The Firefox User Research team champions human-centered exploration of complex problems, using evidence, data, and insight to drive decision-making. We use quantitative and qualitative research to understand business needs and uncover user insights that inform product and design strategy.

As a Staff Quantitative User Researcher, you’ll lead strategic and tactical quantitative studies, working with product managers, designers, engineers, data scientists, product marketers, and fellow researchers. You’ll apply quantitative methods to scientifically understand users’ experiences, needs, motivations, and behaviors at scale, translating those findings into clear, actionable insights that shape roadmaps and strategies.

What you’ll do:

• Own strategic, end-to-end quantitative research initiatives from scoping business needs and designing surveys to synthesizing data and communicating actionable recommendations to influence product decisions.
• Partner cross-functionally at a strategic level with product, design, engineering, data science, and marketing to develop a research roadmap, identify high-impact research opportunities, and align insights to business priorities.
• Champion user-centered decision-making by embedding quantitative research into product strategy, advocating for user needs, and influencing leaders across functions.
• Analyze and translate complex data sources (e.g., surveys, behavioral data, and market intelligence) to build cohesive, evidence-based perspectives on user experience and audience insights.
• Help elevate the quantitative research practice by mentoring peers, refining methods and tools, and scaling approaches that increase the visibility and impact of user insights across Firefox.

What you’ll bring: 

• 7+ years of experience in a user, product, or market research setting or similar, with a strong focus on quantitative research.
• Extensive experience leading survey research across the product development lifecycle, using quantitative insights to measure and influence product and business decisions.
• Deep expertise in empirical survey methods (e.g., planning, sampling, weighting, statistical analysis) and applications (e.g., product needs, audience understanding, tracking studies, concept testing, panel surveys, intercept surveys).
• Highly proficient in R for statistical programming and analyzing survey data. 
• Experience using SQL to integrate behavioral data with survey responses to tell a cohesive user-focused story.
• Demonstrated ability to craft compelling narratives using quantitative data and visualizations.
• Demonstrated success operating in fast-paced, agile environments, adapting to shifting priorities while maintaining research impact.
• Experience collaborating with qualitative researchers to enable mixed methods research designs and roadmaps. Hands-on qualitative research experience is a bonus.
• Strong judgment in balancing research depth and speed, delivering insights that are both actionable and impactful for product and business decisions.
• Collaborative and influential communicator, skilled at building partnerships with cross-functional teams and driving alignment through evidence-based insights.
• Commitment to our values:
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit

What you’ll get:

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

About Mozilla 

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-DNI

Req ID: R3054

The Role: Strategic Operations Manager, Operational Excellence

The Provider Operations team is responsible for enabling high-quality, efficient provider engagement and driving performance across the Provider Growth team. This role sits within our Operational Excellence function and is responsible for defining, owning, and scaling the systems, workflows, and operating model that power Provider Operations.

This is a highly strategic and analytical role focused on end-to-end process design, cross-functional alignment, and long-term scalability. You will partner closely with Sales, RevOps, Product, and Marketing to define “what good looks like” and ensure Provider Operations can operate efficiently at scale.

You’ll spend approximately 50% of your time leading and executing critical initiatives, and 50% helping to define strategy, frameworks, and performance standards to drive measurable improvements across the organization leveraging data.

Responsibilities

• Operating Model + Workflows: Support the end-to-end design and evolution of Provider Operations workflows. Define and standardize how work gets done across the Provider Growth organization.
• Strategic Planning & Initiative Leadership: Define and lead high-impact, cross-functional initiatives. Set direction, align stakeholders, and ensure scalable implementation.
• Cross-Functional Alignment: Partner cross-functional to translate operational needs into scalable system and tooling improvements. Act as the bridge between frontline workflows and technical solutions.
• Operational Excellence: Drive a culture of operational excellence by standardizing processes, documentation, and best practices across Provider Operations.
• Problem Solving: Identify systemic inefficiencies and design solutions across people, process, and technology to improve scalability, consistency, and provider experience.

Must-Have Qualifications

• Experience: 4+ years of proven experience using analytics to solve complex business or operational problems across multiple teams, ideally in a high-growth, fast-paced environment; Bachelor’s degree in Business, Operations Management, or a quantitative field.
• Problem Solving: Exceptional problem-solving skills with a track record of delivering high-impact results. Ability to approach ambiguous challenges with structured thinking and creativity.
• Strategic Thinking: Ability to define and drive long-term strategy while balancing immediate operational needs.
• Technical Proficiency: Proficiency in data analysis tools (Google Sheets, SQL, BI tools), with the ability to interpret data and translate insights into system-level improvements.
• Collaborative Mindset: Strong experience gathering requirements and partnering with cross-functional stakeholders. Ability to influence and align teams across technical and non-technical functions.
• Communication Skills: Ability to clearly articulate strategy, frameworks, and recommendations to both technical and non-technical audiences.
• Project Management: Proven ability to lead large-scale, cross-functional initiatives from concept through implementation.
• Adaptability/Resiliency: Thrives in ambiguity and can operate effectively in a fast-paced, evolving environment.

Job Description

At FlowFuse, the Technical Product Manager (TPM) bridges product strategy and technical execution. They turn complex technical challenges into measurable product outcomes, ensuring engineering delivers solutions that meet customer needs and quality standards.

This role blends technical depth and product acumen. The TPM dives into architecture, weighs trade-offs, and uses data to guide decisions on debt, scalability, and performance.

The Technical Product Manager reports to the Director of Product and is primarily responsible for:

• Bridging strategy and execution: Translate product strategy into clear, measurable technical outcomes and objectives.
• Defining requirements: Partner with engineering to balance user needs, feasibility, and business impact.
• Delivering outcomes: Set success metrics/KPIs, measure progress, and connect decisions to results.

Core Tasks and Responsibilities:

• Own metrics: Define, track, and report adoption, performance, reliability, and business impact.
• Plan sprints and releases: Align roadmap, priorities, debt, and infrastructure with product strategy.
• Shape specs/architecture: Co-create technical specs and provide architectural input.
• Translate across teams: Bridge product, engineering, sales, and customer success.
• Prioritize with data: Use usage data, customer feedback, and capacity signals.
• Assess feasibility: Evaluate complexity, approaches, and technical risk.
• Advocate quality: Set and monitor quality, performance, and reliability targets.

What is the Technical Product Manager not responsible for?

• Writing production code or implementing features directly.
• Managing engineers or individual performance.
• Final technical architecture decisions (owned by CTO/engineering leadership).

90-Day Plan

We believe setting clear expectations enables new teammates to thrive. Here's what success looks like in your first 90 days at FlowFuse:

Days 0–30: Learn, Map, Build Trust

Theme: Context before control

Primary Objective: Build deep understanding of product, users, architecture, and team dynamics.

Product + Customer Immersion

• Review positioning and roadmap
• Understand core personas
• Join customer calls or review recordings

Technical Architecture Familiarity

• Walk through platform components
• Identify leverage vs fragility

Team Integration + Operating Rhythm

• Build relationships via 1:1s
• Observe planning, refinement, release

Backlog Current State Review

• Audit backlog structure and hygiene
• Identify quick wins

Success Signals by Day 30:

• Trusted relationships with engineering leads
• Clear product/customer value understanding
• Backlog structure understood

Deliverables:

• ✅ FlowFuse User + Value Map
• ✅ Architecture mental model + glossary
• ✅ "How FlowFuse Ships" overview
• ✅ Backlog health assessment

Days 31–60: Align, Clarify Priorities, Start Driving

Theme: From understanding → influence

Primary Objective: Shape execution via alignment, backlog clarity, and problem definition.

Define "What's Important Now" (WIN)

Partner with leadership and engineering to set top quarterly priorities in your swimlanes.

Establish Execution Cadence

• Weekly backlog refinement
• Sprint goal alignment and dependency surfacing

Improve Discovery → Delivery Flow

• Problem framing before solutioning
• Clear acceptance criteria and feedback loops

Lead Backlog Refinement

• Break initiatives into deliverable slices
• Ensure tickets are actionable

Success Signals by Day 60:

• TPM drives clarity, not just observing
• Engineering trusts prioritization inputs
• Backlog is execution-ready

Deliverables:

• ✅ WIN priorities + narrative
• ✅ Shared working agreement + operating rhythm
• ✅ Updated Epic/PRD template
• ✅ Engineering-ready epic(s) owned end-to-end

Days 61–90: Execute, Own Backlog, Drive Delivery

Theme: Shared ownership and momentum

Primary Objective: Own execution: prioritize, manage backlog, and ship with engineering.

Backlog Ownership with Engineering Leads

Co-own priority ordering, sprint readiness, and tradeoff decisions.

Roadmap Execution Visibility

• Sprint goal tracking
• Outcome-based roadmap updates

Ship Meaningful Customer Value

Drive at least one major platform or customer-facing improvement to release.

Institutionalize Collaboration

Solidify operating model and learning loops.

Success Signals by Day 90:

• TPM + engineering leads run backlog prioritization
• Sprint planning is outcome-driven
• Execution cadence is faster and clearer

Deliverables:

• ✅ Backlog actively managed weekly
• ✅ Now / Next / Later execution view
• ✅ Release + feedback capture
• ✅ FlowFuse Product Delivery Playbook v1

Goal: By day 90, the TPM has moved from learning → alignment → execution → shared backlog ownership, with clarity on WIN priorities and active backlog management.

Skills

• Technical depth: Understand architecture, APIs, databases, and SDLC; low-code/Node-RED is a plus.
• Outcome orientation: Define KPIs and use data to drive decisions and impact.
• Product/engineering fluency: Comfortable with user stories and technical implementation.
• Strategic to tactical: Convert strategy into deliverables and milestones.
• Analytical: Use qualitative and quantitative inputs for prioritization.
• Technical communication: Translate across technical and non-technical audiences.
• Collaborative problem solving: Partner with engineering to find pragmatic solutions.
• Trade-off judgment: Balance debt, features, performance, scalability, and business priorities.

Hiring Plan

1. Resume screening by hiring manager.
2. 20‑minute screening call with recruiter.
3. Director of Product interview (45m): product, technical fit, outcomes, communication.
4. CTO interview (45m): technical depth, collaboration, trade-offs.
5. Engineering Manager interview (30m): technical collaboration and requirements clarity.
6. Technical case study presentation with metrics and lessons learned.
7. Final interview (optional) with VP of Sales or stakeholder.
8. Offer.

Position Summary:

The Senior Director, Risk Management, Drug Safety & Pharmacovigilance (DSPV) will report to the Vice President, Drug Safety & Pharmacovigilance and will be responsible for our Risk Management strategy and Benefit Risk Office at Vera which strives for excellence and the creation of a best practice framework. As a Risk Management Lead, you will be empowered to work cross-functionally with colleagues to establish and manage the processes for Risk Management, benefit risk, RMPs, additional Risk Minimization Measures and REMS programs and other Benefit Risk deliverables. The overall goal of the Risk Management Lead is to optimize the proactive impact made by the PV department at Vera while maximizing patient safety and minimizing/preventing patient risk.

Responsibilities:

• Serves as Project manager of the PV Risk Management System to oversee, evaluate, characterize, strategize, implement, assess and track vera’s PV Risk Management obligations, commitments and proposed minimization measures to ensure patient safety is at the forefront of DSPV.
• Provide recommendations and guidance through subject matter expertise on risk management and risk minimization strategy to an assigned therapeutic area to ensure that product risk management strategies are consistent worldwide.
• Provide recommendations and guidance through subject matter expertise on the structured benefit risk assessment framework and the development of the benefit risk assessment documentation.
• Work closely with cross-functional teams (e.g. Clinical Development, Clinical Operations, Medical Affairs, Regulatory Affairs, and Biostats) to ensure alignment of Vera’s global position for the PV risk management processes.
• Provide strategic expertise to cross-functional product team members in developing pharmacovigilance risk strategies including benchmarking and scenario planning.
• Support the development of risk management plans (RMPs) in modular format, review RMPs) and ensure alignment with Good Pharmacovigilance Practices and other applicable regulations.
• Remain up to date and well informed on all Regulatory intelligence as it relates to risk management and relay this to the Project team and the PV medical safety science team.
• Aide in the development and review risk minimization documents such as Developmental RMPs, RMPs, risk minimization measures and Risk Evaluation and Mitigation Strategy (REMS).
• Provide subject matter expertise and thoughtful contributions to qualitative and quantitative structured benefit risk assessments.
• Provide guidance on incorporation of the patient’s perspective into benefit-risk activities (e.g. Real-World Evidence studies with Medical Affairs).
• Collaborate with PV Physician Leads, Clinical Leads, PV scientists and Clinical Research Scientists, and others cross-functional teams on benefit risk assessment strategy.
• Develop and provide recommendations for appropriate risk management interventions such as direct healthcare professional communications, educational materials, controlled access program.
• Provide guidance and drive the creation of tracking risk management commitments including utilization of a tracking spread sheet or platform and improvement assessments
• Monitor and report risk management metrics to ensure compliance.
• Provide centralized support, training, and leadership for safety and cross-functional members who work on risk management plans and risk minimization activities.
• Support inspections and audit activities internally and externally with regards to risk management processes.
• Perform other duties as defined in standard operation procedures or requested by supervisor.
• Work with PV Physician and PV Scientists to aide in the proper characterization and classification of Risk from initial signal to evaluation, validation, implementation in study documents, protocols, IBs, ICFs, and RMPs.
• Work with VP of DSPV, PV Physicians and PV Scientists on any Regulatory Submission/filing for BLA, SBLA, MAA, etc. to be sure that risks are reflected properly and carried through to support filing activities.
• Oversee risk components of Aggregate reports like DSUR, PBRER etc.
• Work with PV Physicians and PV Scientist in risk presentations at safety Governance meetings (MSRB & MSRC) to ensure proper communication of risk is achieved and proper course of action is followed.
• Manage and oversee any outsourced RMP related activities to external vendors.

Qualifications:

• PhD/Pharmacist/ PharmD/DO/MD with 12+ years of experience.
• Minimum 5-10 years in PV/safety OR clinical development preferred.
• Minimum 5-10 years of pharmaceutical industry/drug development experience.
• Pharmaceutical industry experience, with exposure to PV risk management, additional risk minimization measures, and/or REMS programs preferred.
• Strong track record of scientific and analytical thinking.
• Experience presenting at meetings is desirable.
• Work with integrity and work proactively in a fast-moving environment.
• Good Critical thinking skills. Ability to use good analytical/judgment skills to understand, analyze, and communicate.
• Project Management Skills with ability to manage both time and priority constraints and to manage multiple priorities simultaneously.
• Attention to detail, computer literacy, knowledge of safety databases.
• Good working knowledge of all the functions within PV from PV operations onto medical safety science and all processes in between.

Senior Yield Data Analyst

Job Summary

We are seeking a highly analytical and data-driven individual to optimize and maximize monetization across our publisher partners. As a key member of our Yield team, you will monitor, analyze, and enhance yield performance using complex data sets, producing actionable insights and strategies. We are looking for a curious and proactive Senior Yield Data Analyst who enjoys deep-diving into analysis and technical investigations, and producing creative ideas in a dynamic fast-paced environment.  

Responsibilities:

• Identify, analyze, and interpret trends in complex data sets to maximize publisher yield.
• Extract and analyze bidstream and auction data to surface trends, anomalies, and optimization opportunities. Provide recommended changes to enhance bidding dynamics and yield outcomes.
• Develop and maintain analytic monitoring and alerting systems for yield management, ensuring rapid identification and diagnosis of revenue-affecting issues and performance drops.
• Produce data-driven summaries and actionable insights for internal teams and executives, ensuring technical accuracy and clear communication for a range of technical and non-technical stakeholders.
• Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies.
• Monitor macro and micro trends, providing proactive alerting on network or site-level issues and tracking key KPIs (ie fill rate, eCPM, revenue, latency, viewability).
• Investigate and respond to technical or operational issues to maximize yield without compromising user experience, site speed, or ad quality.
• Build and maintain AB testing frameworks, reporting, and result interpretation.
• Perform root cause analysis for data or ad-serving problems; provide technical QA for new publisher onboarding, AB tests, product launches, and engineering initiatives.
• Act as a subject matter expert for Freestar data capabilities. Support data integrity projects.
• Project manage yield and data initiatives from planning through successful implementation, ensuring clarity, accountability, and effective communication. Collaborate cross-functionally with Business Intelligence, Product, Engineering, Customer Success, Business Development, and Demand.
• Stay up-to-date on industry trends and emerging yield opportunities; recommend and pilot innovative monetization solutions.

Qualifications:

• Bachelor’s degree or relevant work experience in Mathematics, Economics, Statistics, Business Analytics, Data Science, or a related quantitative field.
• 3-5 years of experience in ad tech; preferably at a digital publisher or ad management company. Minimum 2 years of experience in an analytical role.
• Deep familiarity with header bidding, Prebid, SSPs, DSPs, ad serving, Google Ad Manager, and major ad tech platforms.
• Advanced skills in Excel and Google Sheets. Familiarity with working with large complex data sets.
• Experience in SQL and willingness to adopt new data tools as needed.
• Hands-on experience with data visualization and presentation tools to tell compelling stories with data.
• Adept at deriving analytic insights, and presenting findings to external and internal stakeholders.
• Strong written and verbal communication skills to explain complex yield strategies and analytical insights to technical and non-technical audiences.

 We’d also like to see:

• Detail-oriented and organized, able to manage multiple priorities and stakeholders.
• Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems.
• Able to work independently as well as part of a broader team.
• Experience with AB testing a plus.
• Experience with LLMs or machine learning tools for data analysis is a bonus.
• Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

 What you can expect in return:

• Full-Time, Salaried Position
• The opportunity to be part of something BIG

Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

This role is not eligible for visa sponsorship

We are looking for a highly motivated and results-driven Head of Data to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant, and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.

We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.

Key Responsibilities

Data & Quant Leadership

• Define and lead the strategy across Data Engineering, Data Science, Quant, and Data Analytics, focusing on high business impact
• Build and manage cross-functional teams, including quants, data scientists, engineers, and analysts
• Drive advanced analytics, ML strategy, feature engineering, and model development with a focus on responsible AI
• Collaborate with stakeholders to turn complex business challenges into data-driven solutions

Data Engineering Leadership

• Design and evolve a scalable, reliable, and maintainable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streams
• Establish engineering best practices: code reviews, CI/CD, data contracts, observability
• Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes

People & Cross-Functional Leadership

• Communicate effectively across technical and non-technical teams to influence decisions
• Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
• Mentor team members, create growth plans, and foster a culture of psychological safety, accountability, and innovation

AI & LLM Strategy

• Define and drive GenAI and LLM strategy: identify high-value use cases, evaluate model providers (OpenAI, Anthropic, open-source), and lead end-to-end implementation
• Architect and oversee LLM-powered products: RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
• Lead adoption of agentic AI frameworks (LangChain, LlamaIndex, AutoGen) to build autonomous multi-step reasoning systems
• Establish MLOps and LLMOps best practices: model versioning, evaluation frameworks, prompt management, and monitoring for drift and hallucinations
• Drive responsible AI governance: bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
• Champion AI-assisted development workflows (GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
• Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
• Collaborate with product and engineering to productionize AI features with robust feedback loops, A/B testing, and continuous model improvement

Requirements

• 7+ years of hands-on experience across Data Science, Quant, Data Engineering, delivering end-to-end solutions
• 3+ years of managerial experience, leading data teams including quants and data scientists
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
• Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
• Strong foundation in mathematical statistics, probability theory, and quantitative modeling
• Hands-on experience with LLMs, prompt engineering, and building production-grade AI systems (RAG, agents, fine-tuning)
• Familiarity with LLMOps tooling: experiment tracking (MLflow, W&B), vector stores, evaluation frameworks (RAGAS, DeepEval)
• Proficient in SQL and experience with analytical and OLAP databases
• English Upper-Intermediate

Nice to Have

• Experience with ClickHouse or other OLAP databases
• Background in trading or fintech
• Experience analyzing and modeling time series or high-frequency data
• Familiarity with anti-fraud systems, risk modeling, or portfolio analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Who We Are 

Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.

Our customers can start a pentest in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.

Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work. 

Description

We are pushing the boundaries of agentic AI in the offensive security space, leveraging over 10 years of real-world offensive security data to train and evaluate our models. Our work sits at the intersection of applied mathematics, statistical modeling, and autonomous AI systems, focused on high-stakes, adversarial environments.

We are seeking a graduate-level Data Science Intern with a strong foundation in applied mathematics or statistics and hands-on experience with agentic AI systems. In this role, you will contribute to the development of autonomous agents, improving their ability to reason, adapt, and exploit findings in both test and real-world environments. You will also develop models that capture complex system interactions and evaluate how agents perform under evolving platform conditions.

What You’ll Work On

• Build and improve autonomous agents, focusing on reasoning, planning, and exploitation workflows
• Enhance agent performance in both simulated and real-world environments
• Analyze outputs from agents to identify system weaknesses and emergent behaviors
• Collaborate with engineering and security teams to integrate models and agents into real-world offensive security workflows
• Apply techniques from:
• causal inference
• probabilistic modeling
• optimization

Responsibilities

• Design and run experiments to validate model and agent assumptions
• Work with large-scale datasets to calibrate and test models
• Iterate on agent behavior based on empirical results and failure analysis
• Communicate findings clearly to technical stakeholders

Must-Haves

• Graduate student (MS/PhD) in a quantitative field
• Strong foundation in at least one of: applied math, probability, statistics, and modeling
• Proficiency in Python
• Experience with agentic LLM-based AI systems

Nice-to-Haves

• Familiarity with offensive security concepts
• Experience with causal inference, simulation, or RL/planning
• Research, publications, or open-source contributions

Why You Should Join Us

• Ownership of a high-impact, technically challenging project
• Exposure to real-world applications of agentic AI 
• Mentorship from experienced researchers and engineers
• Opportunity to contribute to systems at the intersection of data science, AI, and security

Summary

Wikimedia is looking for an experienced product manager (contract) for the Connection team in our Product department to cover for a parental leave. The Product department builds the wiki experiences that enable our communities to achieve our vision: a world in which every single human being can freely share in the sum of all knowledge. This is an opportunity to have a tremendous impact with one of the most beloved parts of the internet.

Wikipedia is one of the most popular media properties in the world, visited by over 1 billion people a month across over 300 different languages. All this knowledge is created and managed by more than 200,000 volunteer editors. The Connection team aims to provide contributors with moments of motivation, recognition, and connection to create a more meaningful contributor experience. Our main projects have been focused on building software to help event organizers and participants collaborate with each other and understand their collective impact. With this as our foundation, we are now ready to think more holistically about investing more in the moments that create meaning for our volunteers, motivating them to keep coming back.

As the product manager with the Connection team (contract), you will work with community members, researchers, engineers, and designers to deliver on the contributor strategy, with a focus on making the contributing experience more meaningful. This is a contract position to cover a parental leave (4 months with a potential to extend to 8 months). This role reports to the Group Product Manager, Contributors. Candidates must be available for critical meetings and synchronous work between 15:00 UTC and 18:00 UTC.

You are responsible for:

• Leading the product development process to define, develop, and deliver features to make the contributing experience more meaningful within the guardrails of our OKRs.
• With the help of the Group Product Manager discovering and defining new opportunities to set future KRs.
• Setting priorities for a cross-functional product team of a designer, engineering manager, software engineers, and community relations specialist.
• Collaborating with community ambassadors and volunteer community members around the world who participate in the Connection team's product development process.
• Collaborating with fellow product managers to stay aligned on higher-level strategic priorities.
• Coordinating and collaborating across other departments, such as Community Growth.
• Releasing and iterating intentionally to provide incremental value and validate hypotheses.
• Using quantitative and qualitative methods to evaluate impact.

Skills and Experience:

• 5+ years of experience as a Product Manager
• 3+ years of experience managing user-facing consumer web products
• Demonstrated success in launching new features
• Experience working with cross-functional teams
• Experience working in an agile or iterative software development environment
• Commitment to diversity, equity, and inclusion 
• Strong listening skills
• Ability to clearly communicate plans and results to stakeholders and collaborators
• Bachelor’s degree or equivalent in relevant work experience
• A desire to make meaningful contributions to knowledge equity, free culture, and open access

Qualities that are important to us:

• Experience with a two-sided platform or marketplace product
• Proficiency with data, reporting, analytics, or A/B testing
• Experience building features for mobile devices
• Experience building products that support positive user habits, engagement, or ongoing value creation over time
• Experience with fully remote, geographically distributed, and asynchronous teams
• Experience working with communities, volunteers, or open source projects
• Experience editing Wikipedia or contributing to other wiki projects
• Experience with users in emerging markets, such as the Middle East, Africa, South Asia, or Latin America
• Fluency in a language other than English

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$52/hour to US$80/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Title: Enterprise Risk & Capital Strategy Principal

Location: Remote

Position Summary

This role supports enterprise risk management, capital strategy, and strategic growth initiatives. Partners across actuarial, finance, and investments to drive data-informed decisions that balance risk, return, and regulatory requirements while supporting financial strength and growth. 

Essential Job Functions:

• Play a critical part in ensuring financial strength, optimizing capital allocation, and evaluating strategic growth opportunities.
• Partner closely with actuarial, finance, investments, and executive leadership to drive data-informed decisions that balance risk, return, and regulatory requirements.
• Influence the company’s financial resilience and growth strategy directly by ensuring appropriate risk-taking, efficient capital deployment, and disciplined evaluation of strategic opportunities.
• Play a key role in maintaining strong regulatory standing and supporting rating agency relationships.

Corporate Development & Strategy

• Evaluate strategic initiatives including Mergers & Acquisitions (M&A), reinsurance transactions, distribution partnerships, and new product/market entry.
• Build and review financial models for acquisitions, divestitures, and strategic investments.
• Perform valuation analyses (discounted cash flow [DCF], comparable companies, embedded value where applicable).
• Conduct industry and competitor analysis across life, annuity, and/or Property & Casualty (P&C) markets.
• Support due diligence and integration planning for transactions. 

Capital Modeling & Financial Planning

• Develop and maintain capital models across regulatory and economic frameworks (e.g., risk-based capital [RBC], economic capital, rating agency models such as AM Best/Standard & Poor’s [S&P]).
• Analyze capital adequacy and support capital allocation decisions across business lines.
• Perform sensitivity and scenario testing to assess impacts on surplus, earnings, and ratings.
• Partner with actuarial and finance teams on projections, reserve impacts, and asset-liability management (ALM).
• Support ORSA filings, rating agency submissions, and capital-related disclosures.

Enterprise Risk Management (ERM)

• Support the design, enhancement, and execution of the company’s ERM framework in alignment with National Association of Insurance Commissioners (NAIC) and Own Risk and Solvency Assessments (ORSA) requirements.
• Identify, assess, and monitor key risks including underwriting, market, credit, liquidity, and operational risks.
• Lead risk assessments, scenario analysis, and stress testing (e.g., interest rate shocks, catastrophe events, lapse risk).
• Prepare risk reports and dashboards for senior management and the Board.
• Collaborate with business units to develop and track risk mitigation strategies. 

Qualifications

• Bachelor’s degree in Actuarial Science, Finance, Economics, Mathematics, or related field.
• 5–10+ years of experience in insurance risk management, actuarial, corporate finance, investment banking, or strategy.
• Strong understanding of insurance fundamentals (reserving, pricing, reinsurance, ALM).
• Experience with capital frameworks such as RBC and/or economic capital models.
• Progress toward or attainment of FSA/ASA, CFA, or MBA strongly preferred.
• Advanced Excel skills; experience with modeling tools (e.g., Python, R, VBA, Prophet, AXIS, or similar) is a plus.

Key Competencies

• Strong quantitative and analytical capabilities.
• Investment Banking Experience.
• Ability to translate complex actuarial/financial concepts into business insights.

Compensation: $105,200.00 - $147,950.00 

#APP

#VIZI

Summary

The Wikimedia Foundation is looking for an experienced mixed-method UX researcher (3-month contract) to extend our capabilities for doing qualitative and quantitative research to understand the experiences and needs of the humans who use and contribute to Wikipedia and the Wikimedia projects. As part of the Research group, the UX Research team leads UX research with the goal to improve user experiences and increase global usage.

Reporting to the Manager, UX Research and working directly with another researcher on the team who will assist in scoping project work and with research operations as needed, you will be responsible for leading the execution of high-quality research that results in actionable insights that inform decisions toward our organizational objectives. The work for this role is expected to be primarily quantitative but may also include some qualitative research projects or components. Examples of the sort of quantitative and mixed-methods UX research projects we’ve done recently are a survey-based experimental study of attribution signals (learn more) and a mixed-method study to understand Wikipedia readers’ use cases (learn more).

This is a contract position to cover a staff leave. This role is part-time, with an expected average of 30 hours per week.

Candidates must be available for critical meetings and synchronous work between 15:00 to 19:00 UTC. Availability to work outside of your local business hours may be needed at times during the data collection phase of studies or for occasional meetings with key stakeholders.

You are responsible for:

• Coordinating work with the point of contact in the UX Research team, the rest of the team, and stakeholders to drive and support research projects.
• Supporting the UX Research point of contact in scoping projects as requested (e.g., to determine project goals, methodologies, logistics, and timelines).
• Developing an understanding of the product, its context, and the research objectives.
• Coordinating with UX Research point of contact to manage and execute all phases of the research process, including creating materials, coordinating research operations, overseeing participant recruitment/survey distribution, scheduling and running research sessions (using interpretation support when appropriate) or data collection, and doing analysis and report-writing.
• Delivering comprehensive research results, translating findings into actionable insights that can inform product and decisions.
• Communicating research findings and recommendations to stakeholders in clear and compelling ways.

Skills and Experience:

• 5+ years of experience as a UX Researcher
• Expertise leading projects end-to-end using quantitative research methodologies, e.g. surveys, large-scale unmoderated testing, large-scale diary studies, quantitative UX benchmarking studies; expertise with statistical analysis, data visualization
• Experience with leading projects end-to-end using qualitative research methodologies, e.g. interviews, contextual inquiry, diary studies
• Outstanding written and verbal communication skills
• Experience leading research projects from start to finish (solo and in collaboration with others)
• Experience working collaboratively with product teams to translate insights into actionable recommendations

Qualities that are important to us:

• Strong time-management skills
• Self sufficiency and ability to resolve what blocks your work or escalate

Ability to organize and prioritize multiple priorities and deadlines and work collaboratively, as well as independently, to deliver results

Additionally, we’d love it if you have:

• Fluency in languages other than English
• Experience working with volunteer or open source communities and projects
• Experience editing Wikipedia or contributing to other wiki projects

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$45/hour to US$55/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for an experienced mixed-method UX researcher (3-month contract) to extend our capabilities for doing qualitative and quantitative research to understand the experiences and needs of the humans who use and contribute to Wikipedia and the Wikimedia projects. As part of the Research group, the UX Research team leads UX research with the goal to improve user experiences and increase global usage.

Reporting to the Manager, UX Research and working directly with another researcher on the team who will assist in scoping project work and with research operations as needed, you will be responsible for leading the execution of high-quality research that results in actionable insights that inform decisions toward our organizational objectives. The work for this role is expected to be primarily quantitative but may also include some qualitative research projects or components. Examples of the sort of quantitative and mixed-methods UX research projects we’ve done recently are a survey-based experimental study of attribution signals (learn more) and a mixed-method study to understand Wikipedia readers’ use cases (learn more).

This is a contract position to cover a staff leave. This role is part-time, with an expected average of 30 hours per week.

Candidates must be available for critical meetings and synchronous work between 15:00 to 19:00 UTC. Availability to work outside of your local business hours may be needed at times during the data collection phase of studies or for occasional meetings with key stakeholders.

You are responsible for:

• Coordinating work with the point of contact in the UX Research team, the rest of the team, and stakeholders to drive and support research projects.
• Supporting the UX Research point of contact in scoping projects as requested (e.g., to determine project goals, methodologies, logistics, and timelines).
• Developing an understanding of the product, its context, and the research objectives.
• Coordinating with UX Research point of contact to manage and execute all phases of the research process, including creating materials, coordinating research operations, overseeing participant recruitment/survey distribution, scheduling and running research sessions (using interpretation support when appropriate) or data collection, and doing analysis and report-writing.
• Delivering comprehensive research results, translating findings into actionable insights that can inform product and decisions.
• Communicating research findings and recommendations to stakeholders in clear and compelling ways.

Skills and Experience:

• 5+ years of experience as a UX Researcher
• Expertise leading projects end-to-end using quantitative research methodologies, e.g. surveys, large-scale unmoderated testing, large-scale diary studies, quantitative UX benchmarking studies; expertise with statistical analysis, data visualization
• Experience with leading projects end-to-end using qualitative research methodologies, e.g. interviews, contextual inquiry, diary studies
• Outstanding written and verbal communication skills
• Experience leading research projects from start to finish (solo and in collaboration with others)
• Experience working collaboratively with product teams to translate insights into actionable recommendations

Qualities that are important to us:

• Strong time-management skills
• Self sufficiency and ability to resolve what blocks your work or escalate

Ability to organize and prioritize multiple priorities and deadlines and work collaboratively, as well as independently, to deliver results

Additionally, we’d love it if you have:

• Fluency in languages other than English
• Experience working with volunteer or open source communities and projects
• Experience editing Wikipedia or contributing to other wiki projects

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$45/hour to US$55/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Senior Product Manager, Mobile Apps (6-month contract)

Summary

Wikimedia is looking for an experienced product manager (6-month contract) for the Mobile Apps team in our Product department. The Product department builds the wiki experiences that enable our communities to achieve our vision: a world in which every single human being can freely share in the sum of all knowledge. This is an opportunity to have a tremendous impact on one of the most beloved parts of the internet.

Wikipedia is one of the most popular media properties in the world, visited by over 1 billion people a month across over 300 different languages. All this knowledge is created and managed by more than 200,000 volunteer editors. The Wikipedia mobile apps are a fast and fun way to read Wikipedia. The Wikipedia apps for Android and iOS are ad-free and available in more than 300 languages. They are the best place to be a fan of Wikipedia and to learn.

As a product manager with the Mobile Apps team (contract), you will work with engineers, designers, community members, other product managers, and our volunteer community to deliver on the reader strategy, with a focus on improving the experience of our most committed app users. This is a contract position to cover a parental leave (6 months). 

Candidates must be available for critical meetings and synchronous work between 14:00-19:00 UTC.  This role will report to the Lead Product Manager, Mobile Apps.  

You are responsible for:

• Leading the product development process to refine, develop, and deliver features that deepen app retention, support the Active→Contributor funnel, and sustain app donors, within the guardrails of our OKRs and strategic direction. 
• Collaborating with fellow apps product managers to stay aligned on higher-level strategic priorities, identify, and execute the direction of the apps team
• Work with the other apps product managers to discover and define new opportunities to set future KRs
• Producing and updating community facing documentation
• Setting priorities for a cross-functional product team of a designer, engineering manager, software engineers, QA engineer, data analyst, and community relations specialist.
• Experimenting, releasing, and iterating intentionally to provide incremental value rapidly and validate hypotheses.
• Using quantitative and qualitative methods to evaluate impact.

Skills and experience:

• 5+ years of experience as a Product Manager
• 3+ years of experience managing user-facing products in a mobile first environment, working on Android or iOS applications
• Demonstrated success in launching new features in large-scale consumer apps
• Experience working with cross-functional teams
• Success making decisions in fast-changing and ambiguous situations
• Experience working in an agile or iterative software development environment
• Commitment to diversity, equity, and inclusion
• Strong listening skills
• Ability to clearly communicate plans and results to stakeholders and collaborators verbally and in written form
• Bachelor’s degree or equivalent in relevant work experience
• A desire to make meaningful contributions to knowledge equity, free culture, and open access

Additionally, we’d love it if you had:

• Experience with a two-sided platform or marketplace product
• Experience with personalization features
• Proficiency with data, reporting, analytics, or A/B testing
• Experience building products that support positive user habits, engagement, or ongoing value creation over time
• Experience with fully remote, geographically distributed, and asynchronous teams
• Experience working with communities, volunteers, or open source projects
• Experience editing Wikipedia or contributing to other wiki projects
• Experience with users in emerging markets, such as the Middle East, Africa, South Asia, or Latin America
• Fluency in a language other than English

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$52/hour to US$80/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

As an IT Compliance Manager, you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context.

We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization.

WHAT YOU'LL BE DOING:

Project Leadership and Delivery

• Lead major compliance projects such as: 
• ICT implementation reviews and compliance sign-offs
• Implementation of new regulatory requirements across specific markets or asset classes
• Compliance integration for new market access or trading venues
• Manage project timelines, resources, and stakeholder expectations
• Define project scope, deliverables, and success metrics
• Coordinate cross-functional teams to ensure successful project implementation

ICT Implementation and Technology Compliance

• Lead compliance oversight of ICT implementations and technology projects
• Review and approve technology changes from a compliance perspective
• Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements)
• Collaborate with technology teams to embed compliance controls in system architecture
• Oversee compliance aspects of system development lifecycle (SDLC)
• Ensure proper documentation and audit trails for all technology implementations

Regulatory Expertise and Incident Management

• Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction
• Act as a compliance liaison for technology and trading teams
• Participate in and respond to regulatory examinations and inquiries
• Present compliance metrics and project updates to stakeholders

WHAT WE LOOK FOR IN YOU:

Education and Certifications

• Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s or JD preferred)
• Relevant professional certifications (e.g., ITIL 4, ISO/IEC 27001, CISA, CRISC)
• Demonstrated experience in technology compliance and ICT implementation oversight

Technical Knowledge

• Strong background in technology compliance, including: 
• ICT governance and control frameworks
• Algorithm development and testing requirements
• System change management processes
• Technology audit and compliance testing
• Experience with order types, market data, and execution venues
• Knowledge of regulatory technical standards for electronic trading

Skills and Competencies

• Proven ability to interpret complex regulations and apply them to HFT operations
• Strong project management skills with experience leading complex, cross-functional initiatives
• Excellent analytical and problem-solving abilities
• Outstanding written and verbal communication skills
• Ability to work both independently and collaboratively within a team environment
• Experience managing multiple projects and priorities simultaneously
• Strong stakeholder management and influencing skills

NICE-TO-HAVE:

• Previous experience at a proprietary trading firm or HFT-focused organization
• Technical certifications (CISA, CISSP) or technology audit experience
• Experience with DevOps compliance and continuous integration/deployment environments
• Knowledge of cloud infrastructure compliance requirements
• Programming skills (Python, SQL) for data analysis and surveillance

WHY YOU SHOULD JOIN OUR TEAM?

• Great challenges with fast feedback loops
• A welcoming group of highly qualified international professionals
• Cutting-edge hardware and technology
• Work remotely from anywhere in the world
• Access any of our global offices anytime
• Flexible schedule
• 40 paid days off
• Competitive salary

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams

Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.Discretion and competence in handling sensitive or confidential data.

• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

As the Data Science Manager for Product Analytics, you will manage a team of data scientists who help product development teams use quantitative data and insights to understand our audiences, inform strategy, guide product decisions, and assess the impact of new features. You will be accountable for the work your team delivers, and you will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures. And you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers.

Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year).

You are responsible for:

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
• People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
• Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

Skills and Experience:

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. 
• Prior experience as a people manager.
• Demonstrated commitment to equity, inclusion, and diversity.
• Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

Qualities that are important to us:

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
• Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors.

Additionally, we’d love it if you have:

• Exposure to, and interest in, ethical data management and privacy practices.
• Contributed to Wikimedia projects or have experience working in other open source projects.
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$132,439  to US$192,799 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Mexico, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

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Who you are:

Hometap's core HEI product has proven strong product-market fit. Now we're building what comes next. We are expanding from a single-product company to a multi-product company and have lots of ideas in the pipeline about how to do that, as well as many that this role would be responsible for generating and validating as big opportunities to pursue.

This is a zero-to-one role. You will be the first dedicated lead on new product development, operating with a small, high-leverage team and significant executive visibility. You won't be handed a roadmap; you'll build it through rigorous discovery, rapid prototyping, and disciplined validation

What you'll do:

Lead new product discovery and validation

• Own the full discovery process across multiple new product hypotheses, including use cases, market sizing, customer interviews, competitive analysis, and regulatory feasibility
• Design and run structured concept validation: prototype-based user testing, partner with Business Development for channel partner conversations, and user research for rapid user concept feedback
• Partner with finance on new product strategy to develop hypotheses for new financial products to validate with homeowners
• Synthesize qualitative and quantitative signals into a clear, evidence-based recommendation on where to place the first big bet
• Use AI tools as a core part of discovery – for analysis, synthesis, prototype generation, research planning – to move faster than a traditional team several times your size

Define and build toward launch

• Translate validated insights into a product definition, GTM strategy, and phased launch plan
• Partner with a lean team to build and test early versions – knowing when to prototype vs. when to ship real code
• Define business cases, go/no-go criteria, success metrics, and instrument the feedback loops needed to iterate quickly post-launch

Shape Hometap's new product strategy

• Work directly with the CPO, COO, and broader leadership team to frame the new product portfolio, prioritize bets, and make the case for resource investment
• Identify the regulatory questions that need early answers, and work with legal and compliance to get them
• Communicate progress, findings, and recommendations clearly to senior leadership on a regular cadence

What you bring:

• 10+ years of product management experience, with meaningful time spent on 0-to-1 or new product bets, not just roadmap execution on established products. The ideal candidate would bring experience in consumer fintech, financial services, or a regulated industry where compliance and customer trust are core product constraints.
• Track record of leading structured discovery that resulted in a go / no-go recommendation that held up – you know what good validation looks like and you've done it
• Demonstrated experience using AI as a force multiplier (for research synthesis, prototype iteration, user interview analysis, competitive intelligence, etc.) 
• You move fast without cutting corners on insight quality – you know the difference between a validated hypothesis and a confirmed bias.
• You're comfortable with ambiguity and energized by it; you don't need a defined roadmap to be productive, and enjoy building the roadmap yourself.
• You're a strong communicator who can make a crisp recommendation to a skeptical executive audience and defend it

Bonus points:

• Familiarity with home equity products, residential real estate, or consumer lending
• Experience working with or designing B2B distribution channels (partner portals, referral programs, embedded finance) 
• Awareness of the regulatory landscape around consumer financial products and the judgment to flag risk early

Why This Role?

• Hometap has an established core product, and this is a rare chance to build what comes next, with resources, support, and a real mandate to do it. If you've been waiting for a role where you can truly own something from concept to shipped product, this is it.
• We're building with AI tooling as a core part of how we work, not as an experiment
• We have an established product and are at a genuine growth stage, which means you'll be close enough to the business to see your work matter immediately

The salary range for this role is $200,000 - $225,000, depending on your experience, skills, location, and other factors. You’ll also receive meaningful equity, so you can share in our growth and success. We offer generous medical, dental, and vision coverage, a work-from-home stipend, parental leave, and plenty of paid time off to recharge.

Research Scientist – Controlled 3D Generation

Location: Remote

About the Role

We’re seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You’ll help advance the frontier of controllable 3D content creation—building models that generate consistent, editable, and physically grounded 3D assets and scenes.

What You’ll Do

• Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction.
• Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields).
• Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency.
• Analyse model behaviour through ablations, visualisations, and quantitative metrics.
• Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems.
• Publish results at top-tier venues and work with interns.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics.
• Published work on diffusion, flow-matching, or score-based generative models (2D or 3D).
• Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation.
• Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
• Solid grasp of geometry processing, multi-view consistency, and differentiable rendering.
• Ability to scale experiments efficiently and communicate complex results clearly.

Bonus / Preferred

• Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout.
• Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition).
• Knowledge of video-to-3D, image-to-scene, or 4D temporal generation.
• Background in physically-based rendering, simulation, or world-model architectures.
• Track record of impactful publications or open-source releases.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Role

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

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

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

Why This Role Matters

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

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

What You’ll Do

Build & Automate the foundational GTM AI stack

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

AI-Powered Systems & Agents

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

Examples include:

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

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

Growth: PLG + Sales-Assisted Motion

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

Experimentation & Learning

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

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

Feedback Loops & Continuous Improvement

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

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

What We’re Looking For

Core Skills

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

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

Collaboration & Ownership

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

Nice to Have

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

Bioinformatics Machine Learning Intern

RefinedScience | United States (hybrid or remote)

At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease.

What We Are Looking For

We are seeking a highly motivated Bioinformatics Machine Learning Intern to join our team. This internship is designed for Ph.D. candidates with experience applying machine learning, deep learning, or generative AI methods to single-cell omics data. You will contribute to active projects spanning single-cell biology, multiomics integration, and computational approaches to precision medicine and drug development.

Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine and drug development.

Key Activities

• Analyze single-cell and multiomics datasets to extract biological insights supporting precision medicine and drug development programs
• Apply and evaluate machine learning and deep learning approaches to single-cell data for tasks such as cell type classification, biomarker discovery, and patient stratification
• Explore and prototype generative AI and LLM-based approaches to accelerate biological data interpretation and scientific workflows
• Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects
• Document and optimize computational workflows following reproducible research best practices
• Present findings through technical reports, visualizations, and presentations to cross-functional teams

Must Haves

• Current Ph.D. candidate in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related quantitative field
• Single-cell omics experience: Demonstrated ability to process, analyze, and interpret single-cell data (scRNA-seq, scATAC-seq, CITE-seq, or spatial transcriptomics) using frameworks such as Scanpy/scverse, Seurat, or Bioconductor
• Machine learning expertise: Applied experience developing and evaluating ML/deep learning models on biological data, including neural network architectures (GNNs, transformers, autoencoders), model selection and benchmarking, and integration of ML approaches into analytical workflows
• Programming proficiency: Python and/or R for data analysis, statistical modeling, and visualization
• Statistical foundation: Understanding of statistical methods for biological data (hypothesis testing, differential expression, multiple testing correction, clustering)
• Strong problem-solving skills and ability to communicate complex insights effectively

Desired Qualifications

Machine Learning & AI

• Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)
• Familiarity with graph neural networks, attention mechanisms, or transformer architectures applied to biological data
• Experience with ML experiment tracking and reproducibility (MLflow, Weights & Biases)
• Exposure to representation learning, variational autoencoders, or contrastive learning methods
• Familiarity with scikit-learn, XGBoost, or similar ML libraries
• Interest in or experience with LLMs, RAG systems, or agentic AI tooling

Bioinformatics

• Experience with multimodal single-cell integration (Seurat WNN, scvi-tools/MultiVI/totalVI, Muon)
• Familiarity with spatial transcriptomics analysis (Squidpy, cell2location, nf-core/spatialvi)
• Experience with cell-cell communication inference (CellChat, NicheNet, LIANA)

• Knowledge of drug-gene interaction resources (CMap/LINCS, OpenTargets, ChEMBL)

Engineering & Infrastructure

• Familiarity with Linux/Unix CLI and version control (Git/GitHub)
• Experience with containerization (Docker, Singularity) and environment management (conda, venv)
• Exposure to cloud computing platforms (GCP preferred)
• Familiarity with workflow managers (Nextflow, Snakemake)
• Adherence to best-practices for conduct reproducible computational research

Duration

8–10 weeks

Why You'll Love RefinedScience

Team + Values

At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage.

Our Values

• Act with Purpose – We believe in rigor through deliberate and thoughtful actions
• Be Curious – Curiosity is the spark that ignites innovation and growth
• Take Ownership – True ownership leads to pride and commitment in the work we do
• Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success
• Embrace Agility – We celebrate agile thinking, resilience, and adaptability

Compensation

• $34-$38 per hour

A project dedicated to assessing and benchmarking advanced agentic audio models against leading systems. The program’s mission is to evaluate and optimize model performance for real-world customer support use cases.

Responsibilities

• Create and execute role-play–based evaluation scenarios that simulate realistic customer service interactions across multiple domains, including:
• Flight bookings and travel support
• Financial services
• Telecommunications and technical support
• Contribute to the development of diverse and representative datasets used to assess conversational audio agents.
• Evaluate model performance across a standardized set of qualitative and quantitative metrics.
• Ensure evaluations reflect real customer expectations for clarity, efficiency, and natural conversational flow.

Evaluation Metrics

Model performance is assessed using a combination of conversational, technical, and audio-specific criteria, including but not limited to:

• Task completion accuracy and efficiency
• Conversational naturalness (tone, flow, and coherence)
• Audio comprehension and response quality
• Instruction adherence and contextual understanding
• Basic computer programming literacy, including:
• Understanding of JSON structures
• Familiarity with functions and methods
• Ability to reason about structured data and simple logic
• Technical communication clarity when handling support-style problem-solving

Technical & Equipment Requirements

• Strong fluency in English
  
• Strong verbal communication skills in a simulated customer support context
• Spanish proficiency including fluency across all language skills: reading, listening, writing, and speaking.
• Access to a high-quality microphone to ensure clean, reliable audio input during evaluations
• Comfort working with structured prompts, evaluation rubrics, and technical guidelines
• Device capable of running audio recording software and opening large technical documentation

We offer a pay range of $11-to- $30.65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Spanish Audio Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

• Create and execute role-play–based evaluation scenarios that simulate realistic customer service interactions across multiple domains, including:
  • Flight bookings and travel support
  • Financial services
  • Telecommunications and technical support
• Contribute to the development of diverse and representative datasets used to assess conversational audio agents.
• Evaluate model performance across a standardized set of qualitative and quantitative metrics.
• Ensure evaluations reflect real customer expectations for clarity, efficiency, and natural conversational flow.

• Task completion accuracy and efficiency
• Conversational naturalness (tone, flow, and coherence)
• Audio comprehension and response quality
• Instruction adherence and contextual understanding
• Basic computer programming literacy, including:
  • Understanding of JSON structures
  • Familiarity with functions and methods
  • Ability to reason about structured data and simple logic
• Technical communication clarity when handling support-style problem-solving

• Strong fluency in English
  
• Strong verbal communication skills in a simulated customer support context
• Hindi proficiency including fluency across all language skills: reading, listening, writing, and speaking.
• Access to a high-quality microphone to ensure clean, reliable audio input during evaluations
• Comfort working with structured prompts, evaluation rubrics, and technical guidelines
• Device capable of running audio recording software and opening large technical documentation

We offer a pay range of $11-to- $30.65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Hindi Audio Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

Audio Editor for Dialogue / Audio Post-Production

Remote

We are seeking an experienced Dialogue Editor / Audio Engineer to prepare, clean, and optimize spoken-word audio for post-production delivery. This role requires strong technical judgment, critical listening skills, and a deep understanding of speech intelligibility, noise management, and real-world post-production workflows. The ideal candidate is fluent in iZotope RX & Pro Tools, understands the capabilities & limits of audio restoration, and consistently delivers natural-sounding, intelligible dialogue under deadline.

On a typical day, you will utilize your extensive experience in Izotope RX & Pro Tools to diagnose, flag, & edit audio to required specifications of various clients. You will operate in a cohesive team atmosphere while communicating flags, discoveries, & qualitative/quantitative audio statistics. This is a fast paced environment with minimal room for error. This position requires intense knowledge of recording stages - from sound source to mastered files, a keen ear for audio deficiencies, & a rigorous mindset for repetitive quality control. You will engage with technical teams on editing scenarios, theoretical audio engineering questions, and creative logic, while suggesting improvements to our prompt engineering and evaluation metrics.

A bachelor’s or master’s degree in Audio Engineering, Music Production, Acoustics, or a closely related field is ideal.

Required Skills

• Minimum 3+ years of professional experience in dialogue editing, audiobook, podcast, or spoken-word and sound post-production.
• Historical success & confidence in vocal cleanup using iZotope RX (standalone and plugin workflows) & Avid Pro Tools
• Familiarity with spoken-word loudness standards (e.g., Audible/ACX targets)
• In-depth knowledge of Spectograms
• Studio level listening/monitoring environment
• Ability to differentiate between performance issues & technical issues
• Identification of signal flow issues with Voice Talents
• Ability to work independently and deliver consistent, broadcast or release-ready dialogue
• Strong time management and attention to detail
• Excellent Collaboration Skills

• Taking direction from supervisors & management
• Communicating technical limitations clearly
• Making defensible processing choices

• Excellent critical listening skills with the ability to identify:

• Room tone inconsistencies

• Mic changes and phase issues
• Plosives, sibilance, & mouth noise
• Clipped or distorted dialogue
• Formant damage
• Intelligibility loss
• Noise masking issues
• Over-processing artifacts

We offer a pay range of $15-to-$30 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Project Title: Audio Editor for Dialogue / Audio Post-Production - Freelance AI Trainer Project

Employment type: Freelance / Contract

Workplace type: Remote

Are you an analytical chemistry expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You’ll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A PhD in analytical chemistry or a closely related chemical science field is ideal; peer‑reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8‑to‑$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Analytical Chemistry Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level