At Rockbot, we power the media experience inside physical spaces — audio, digital signage, and in-venue TV unified into one platform across 50,000+ locations nationwide. As consumer attention shifts further into real-world environments, our advertising business is becoming an increasingly important growth engine for the company.

As an Inside Sales Representative on our Advertising team, you’ll help grow one of the most compelling place-based media networks in the country: real environments, real audiences, and high-dwell consumer moments. You’ll work directly with SMB, regional, mid-market, and select national advertisers — as well as agencies and event-driven brands — owning relationships from outbound prospecting through close, renewal, and account growth.

This is a true full-cycle sales role with a strong outbound focus. You’ll build pipeline, develop media recommendations, close business, manage renewals, and grow long-term advertiser relationships. Success in this role requires strong prospecting discipline, comfort operating autonomously, and curiosity about the evolving digital out-of-home and retail media landscape.

Why Rockbot

• A front-row seat in two rapidly growing advertising categories: DOOH and retail media
• Backed by Google and Universal Music Group; trusted by brands across fitness, restaurants, retail, hospitality, and entertainment
• A product suite that delivers measurable real-world audience engagement
• A high-ownership environment where strong performers can directly influence revenue growth
• Competitive compensation with uncapped commission, equity, benefits, and meaningful growth opportunity

What You’ll Do

Build and Manage Outbound Pipeline

• Prospect and develop new advertising opportunities across SMB, regional, and mid-market accounts, with exposure to select national advertisers and agencies
• Generate pipeline through outbound outreach, relationship-building, networking, referrals, and market research
• Develop fluency in Rockbot’s place-based media inventory across audio, TV, and digital signage offerings
• Identify advertisers with strong contextual or event-based alignment opportunities across Rockbot venues and audiences

Own the Full Sales Cycle

• Qualify opportunities, pitch solutions, develop media plans, negotiate terms, and close business
• Manage advertiser relationships from first conversation through renewal and account expansion
• Educate advertisers and agencies on the value of reaching consumers in high-dwell, real-world environments
• Partner cross-functionally with Ad Operations and Account Management to support campaign execution and advertiser success

Drive Revenue Growth

• Meet or exceed monthly and quarterly revenue goals through disciplined pipeline management and consistent outbound activity
• Balance hunting new business with managing renewals, repeat business, and account growth opportunities
• Learn how different advertiser verticals, deal structures, and campaign objectives impact sales strategy and execution
• Use campaign performance insights and client feedback to identify optimization and upsell opportunities

Operate with Strong Sales Discipline

• Maintain accurate opportunity tracking, forecasting, and pipeline hygiene in Salesforce and HubSpot
• Prioritize high-potential opportunities using data, market insights, and advertiser demand signals
• Contribute market feedback, competitive insights, and advertiser trends during team planning discussions
• Operate effectively in a lean, evolving environment where sales reps maintain significant ownership over the customer experience

What You Bring

• 1–3 years of experience in sales, advertising, media, SaaS, or account management
• Experience prospecting and generating pipeline in a high-volume outbound environment
• Strong communication and relationship-building skills with the ability to adapt messaging across advertiser types
• Interest in advertising, media, digital out-of-home, retail media, or consumer engagement trends
• Comfort owning a full-cycle sales process with meaningful autonomy and accountability
• Familiarity with CRM and sales engagement tools (Salesforce and HubSpot preferred)
• Strong organizational skills and disciplined pipeline management habits
• Ability to thrive in a fast-moving, evolving environment with lean support structures
• Located in or willing to work West Coast hours (Pacific or Mountain time)

About Rockbot

Rockbot empowers businesses to stream the right content — music, TV, digital signage, and audio messaging — across any number of locations from a single dashboard. We're the only platform that unifies the full spectrum of media solutions at enterprise scale, serving 50,000+ locations across restaurants, retail, fitness, hospitality, healthcare, and more.

We're a Series B company backed by Google and Universal Music Group. And we're just getting started.

Learn more at rockbot.com.

Our Values

• Drive — We pursue our mission with relentless tenacity. We love the journey and are on offense all the time.
• Accountability — We take ownership of our promises and stand behind our work. Trust is built through follow-through.
• Curiosity — We're hungry to learn and grow. The "Why" and "How" always matter.
• Empathy — We strive to understand others as deeply as possible — their goals, their pains, their context.
• Ingenuity — We work hard but think smart. Creativity and practicality together solve the hard problems.
• Integrity — We say what we mean and do what we say. Simply, clearly, honestly.

Rockbot is an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. We're dedicated to hiring and developing a talented, diverse team — including individuals with different backgrounds, abilities, identities, and experiences.

About The Role

Together AI is scaling its own data center infrastructure to power the next generation of AI workloads. We are looking for a Sr. Program Manager, Data Center Build to serve as our representative across our physical infrastructure builds. In this role, you will manage critical data center builds, coordinate infrastructure deployment, and drive projects from contract negotiation through commissioning and data center fit out. You will own the full deployment lifecycle, ensuring builds are delivered on time, on budget, and to the quality standards required for high-density AI compute environments.

Responsibilities

• Serve as Together’s representative on data center construction and expansion projects, managing data center providers, sub-contractors, and other third-party vendors from planning through fit-out.
• Oversee all phases of physical infrastructure delivery at data center sites, including site preparation, MEP installation, commissioning, facility readiness, white space fit out, and turnover to operations teams.
• Manage partner contracts, service level agreements (SLAs), schedules, and change orders; track progress against milestones and hold partners accountable to performance, cost, and timeline commitments.
• Coordinate with external partners, including data center providers, owner’s reps, GCs, design consultants, and commissioning agents, to resolve field issues and keep builds on track.
• Track equipment deliveries from vendors, coordinating delivery schedules with construction milestones to ensure materials arrive on time.
• Provide regular project status reporting to leadership, including schedule updates, risk registers, budget forecasts, and key decision points.
• Drive process improvements across the data center build-out and infrastructure deployment program, establishing scalable workflows for tracking, documentation, and vendor management as the portfolio of builds grows.
• Ensure all deployment activities comply with codes, security policies, and safety standards.

Requirements

• 7+ years of experience in technical project or program management or construction management, with at least 5 years focused on data center, mission-critical, or high-density infrastructure builds.
• Direct experience managing data center providers or general contractors on behalf of an owner or developer, including contract administration, schedule oversight, and scope amendment.
• Strong understanding of data center MEP systems, data hall fit out, structured cabling, and white space delivery. 
• Experience managing multi-million infrastructure budgets and tracking costs and timelines across multiple concurrent projects.
• Excellent communication skills with the ability to translate technical construction and delivery details for non-technical stakeholders and senior leadership.
• Familiarity with high-density GPU compute environments, liquid cooling systems, or AI infrastructure requirements.
• Bachelor’s degree in Construction Management, Engineering, Architecture, Business or a related field.
• PMP certification or equivalent project management credential.
• Travel required about 20% of the time.  

Nice to Have

• Experience with fast-track or modular delivery methods for data center or mission-critical facilities.

About Together AI

Together AI is an AI-native cloud company building the infrastructure to make AI faster, cheaper, and more accessible. We’re rapidly scaling our GPU footprint: signing our own data center leases, building large-scale clusters, and expanding toward a global owned-infrastructure presence. Our research team has contributed to breakthroughs like FlashAttention, Hyena, and RedPajama, and we co-design across software, hardware, and algorithms to push the frontier of AI efficiency.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $190-240K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

ABOUT THE JOB

We are seeking a dynamic and experienced Technical Sourcer to join our talent acquisition team. In this role, you will proactively identify, engage, and nurture top-tier technical talent to support our fast-paced, innovative environment. You will partner closely with fellow sourcers and recruiters to build pipelines for critical technical roles and help drive our company’s continued growth and success.

This role is open to 6 month contract.

WHAT YOU’LL DO

• Talent Identification: Utilize advanced sourcing techniques, market research, and social media platforms to uncover passive and active technical candidates.
• Candidate Engagement: Initiate and develop meaningful relationships with prospective talent through tailored messaging and personalized communication.
• Pipeline Development: Build and maintain robust candidate pipelines for various technical roles, ensuring a steady flow of high-quality candidates.
• Collaboration: Partner with hiring managers and recruiters to understand technical role requirements and align sourcing strategies with broader recruitment goals.
• Process Improvement: Analyze sourcing metrics and candidate data to refine and optimize sourcing strategies and workflows.

REQUIRED QUALIFICATIONS

• Experience: Minimum of 4 years in technical sourcing or recruiting, with a proven track record of hiring for technical roles.
• Technical Acumen: Understanding of modern technology stacks, software development processes, and technical skill sets.
• Communication Skills: Excellent written and verbal communication skills, with the ability to engage and influence candidates and stakeholders.
• Analytical Mindset: Proficient in using data-driven approaches to evaluate sourcing effectiveness and make informed decisions.
• Tool Proficiency: Familiarity with applicant tracking systems, LinkedIn Recruiter, Boolean search techniques, and other sourcing tools.
• Collaborative Spirit: Strong interpersonal skills, with the ability to work effectively in a team-oriented, fast-paced environment.

PREFERRED QUALIFICATIONS

• Startup, Tech, and Industry Expertise: Proven experience in startups, tech, or related fields such as AAV, UAS, AUV, Weapons, or similar programs.
• Tooling Experience: Expertise using Greenhouse, Gem, various AI tools, and LinkedIn Recruiter.
• Independent & Proactive: Highly self-sufficient with the ability to work autonomously and take initiative without requiring constant supervision.
• Resilient & Creative Problem Solver: Demonstrates flexibility in tackling challenges, quickly troubleshooting issues, and devising innovative solutions on the fly.
• Exceptional Communication: Communicates directly and succinctly, sharing information promptly to foster collaboration. Practices active listening and engages thoughtfully.
• Strong Sense of Ownership: Takes full accountability for their responsibilities and stays aligned with the business mission. Actively seeks opportunities to enhance company performance, even beyond their explicit role.
• Low Ego, High Curiosity: Values continuous learning over being right, embraces honest feedback, and views setbacks as opportunities for growth and improvement.

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.

ABOUT THE JOB

We are seeking a dynamic and experienced Technical Sourcer to join our talent acquisition team. In this role, you will proactively identify, engage, and nurture top-tier technical talent to support our fast-paced, innovative environment. You will partner closely with fellow sourcers and recruiters to build pipelines for critical technical roles and help drive our company’s continued growth and success.

This role is open to 6 month contract.

WHAT YOU’LL DO

• Talent Identification: Utilize advanced sourcing techniques, market research, and social media platforms to uncover passive and active technical candidates.
• Candidate Engagement: Initiate and develop meaningful relationships with prospective talent through tailored messaging and personalized communication.
• Pipeline Development: Build and maintain robust candidate pipelines for various technical roles, ensuring a steady flow of high-quality candidates.
• Collaboration: Partner with hiring managers and recruiters to understand technical role requirements and align sourcing strategies with broader recruitment goals.
• Process Improvement: Analyze sourcing metrics and candidate data to refine and optimize sourcing strategies and workflows.

REQUIRED QUALIFICATIONS

• Experience: Minimum of 4 years in technical sourcing or recruiting, with a proven track record of hiring for technical roles.
• Technical Acumen: Understanding of modern technology stacks, hardware development processes, and technical skill sets.
• Communication Skills: Excellent written and verbal communication skills, with the ability to engage and influence candidates and stakeholders.
• Analytical Mindset: Proficient in using data-driven approaches to evaluate sourcing effectiveness and make informed decisions.
• Tool Proficiency: Familiarity with applicant tracking systems, LinkedIn Recruiter, Boolean search techniques, and other sourcing tools.
• Collaborative Spirit: Strong interpersonal skills, with the ability to work effectively in a team-oriented, fast-paced environment.

PREFERRED QUALIFICATIONS

• Startup, Tech, and Industry Expertise: Proven experience in startups, tech, or related fields such as AAV, UAS, AUV, Weapons, or similar programs.
• Tooling Experience: Expertise using Greenhouse, Gem, various AI tools, and LinkedIn Recruiter.
• Independent & Proactive: Highly self-sufficient with the ability to work autonomously and take initiative without requiring constant supervision.
• Resilient & Creative Problem Solver: Demonstrates flexibility in tackling challenges, quickly troubleshooting issues, and devising innovative solutions on the fly.
• Exceptional Communication: Communicates directly and succinctly, sharing information promptly to foster collaboration. Practices active listening and engages thoughtfully.
• Strong Sense of Ownership: Takes full accountability for their responsibilities and stays aligned with the business mission. Actively seeks opportunities to enhance company performance, even beyond their explicit role.
• Low Ego, High Curiosity: Values continuous learning over being right, embraces honest feedback, and views setbacks as opportunities for growth and improvement.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform,  IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. 

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role
• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
• Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Consultancy experience performing web application security reviews
• Experience with securing distributed systems in AWS and cloud environments
• Experience with pentesting and securing agentic features and systems
• Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
• Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Job Title: Remote Patient Navigator
Commitment: 16-week cohort
Classification: Volunteer

Job Summary:
The Link Health Patient Health Navigators will assist individuals and families in navigating and enrolling in government assistance programs such as HEAP, Supplemental Nutrition Assistance Program, Lifeline, and other state/federal benefits as a way to address social determinants of health. This role integrates social services, client support, data management, and public assistance knowledge with a focus on health equity.

Link Health’s Theory of Change: Link Health actively seeks to assist eligible people in the navigation and enrollment in benefit programs that address crucial needs like affordable internet, food access, healthcare support, and housing resources. We use community-centered approaches that leverage data, technology, and partnerships to achieve this. This will reduce barriers & connect underserved populations to the benefits available to them for improved economic stability and health outcomes.

Duties/Responsibilities:

• Commit to 10 hours per month to the following responsibilities:
• • Support patients directly in navigating benefits applications and engage with the community at our partner clinics.
  • Enroll patients into specified programs using Link Health’s dashboard.
  • Communicate professionally and appropriately with the leadership team and Senior Patient Navigators.
  • Complete all required compliance documentation.
  • Opportunity to write & publish op/ed, conduct research, and present research at conferences. 

Required Skills/Abilities:

• Outgoing personality & an ability to work with people from a variety of backgrounds.
• Positive, proactive, and personable team player who is goal-oriented.
• Ability to work independently and as part of a collaborative team.
• Strong interest in advancing social and economic justice. 
• Demonstrated ability to work collaboratively to gain trust and give respect to others through honesty, integrity, kindness, empathy, and authenticity.
• Drive to seek what can be improved and offer ways to fix any potential roadblocks.
• Comfort admitting what you don’t know and recognizing that feedback is part of the learning process.
• Proficiency in Spanish is preferred
• Proficiency in DaisyChain is preferred 

Please Note:
This is an unpaid volunteer position. Volunteers are not employees of Link Health and do not receive wages or employee benefits. This opportunity is designed for civic and educational engagement and should not be seen as a substitute for paid employment.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

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

Who We Are (Mode Mobile)

Mode Mobile is the creator of EarnOS, a transformational software that turns ordinary smartphones into "EarnPhones". This innovation empowers users globally to monetize everyday mobile activities such as streaming, gaming, shopping, etc. We enable users to profit from their data and attention, rather than letting only tech giants benefit. What sets us apart is our inclusive approach - converting users into earners, facilitating over $150M in earnings and savings, while going a step further and turning earners into owners by awarding stock ownership in Mobile Mobile based on their usage. We have attracted over 40 million users across 170 countries. 

​​Mode Mobile is proud to stand as the #1 Fastest Growing North American Software Company recognized in Deloitte's 2023 Technology Fast 500, and ranked #2 across all sectors.

For additional insights check out the information about our reward-based super app, Mode Earn App, that also powers the reward engine behind our proprietary smartphone, Mode Earn Phone.

Our Team and Culture Drive Our Success

Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

You can read more about our team and how we work here.

The Role

We are looking for an Account Executive - Newsletter Sales, to help grow advertising revenue across our newsletter portfolio. This role focuses on outbound sales, top-of-funnel generation, sponsorship prospecting, closing, and building a repeatable pipeline of advertisers and partners.

This role is for someone who is not just good at sales but who works in an AI-native way every day.

We want someone who actively uses Claude and AI tools daily and is highly comfortable using AI to automate, accelerate, and improve core sales workflows. That includes prospect research, account prioritization, contact discovery, outbound support, personalization, follow-up drafting, sales process organization, and overall top-of-funnel execution.

This is not a traditional sales role built around fully manual work. We are specifically looking for someone who naturally thinks, “How can I use AI to do this faster, better, and at a greater scale?” The right candidate will combine strong sales instincts with AI fluency and a constant drive to improve efficiency through systems, prompts, and workflow automation.

What You’ll Do

• Own outbound sponsorship sales efforts across Mode Mobile Media’s newsletter brands
• Build a pipeline by identifying relevant advertisers, agencies, and sponsorship partners
• Generate top-of-funnel activity through research, prospecting, and outbound execution
• Use Claude daily to improve and accelerate sales workflows
• Use AI to support list building, prospect research, targeting, outreach preparation, personalization, follow-up drafting, and sales process management
• Create repeatable AI-assisted workflows that help scale outbound volume without sacrificing quality
• Identify better ways to automate sales development work and reduce manual effort
• Work with leadership to refine prospect lists, outreach angles, packaging, and prioritization
• Stay close to our brands, audiences, and sponsorship offerings so outreach is relevant and well-positioned
• Maintain strong organization across outreach, pipeline, and prospect activity
• Help build a more scalable, AI-enabled outbound engine for newsletter sponsorship revenue

Who You Are

• Experience in sales, business development, media sales, advertising sales, sponsorships, partnerships, or newsletter monetization
• Strong outbound prospecting ability and comfort building a pipeline from scratch
• A genuinely AI-native working style, not just surface-level familiarity with AI tools
• Daily Claude users strongly preferred.  You will also be provided access to AI tools.
• Experience using Claude or similar tools to support real sales work, not just general writing
• Clear ability to use AI to improve research, workflow speed, personalization, top-of-funnel output, and sales execution
• Strong written English and the ability to create effective, concise outbound messaging
• Highly organized, resourceful, and able to operate independently
• Comfortable testing new prompts, workflows, and systems to improve results over time
• Able to work in a fast-paced, entrepreneurial environment with a strong bias toward action
• Alignment with our core values:
  
  • ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.
  • Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.
  • Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.
  • Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.
  • Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

Ideal Candidate

The ideal candidate is a strong salesperson who already works with AI as part of their daily operating rhythm. They do not see Claude as a novelty or occasional assistant. They use it regularly to help them move faster, stay organized, increase output, and improve the quality of their work.

They understand that modern outbound sales can be significantly improved by AI when used well, and they are excited to help build that capability into the sales motion from the ground up.

They are proactive, experimental, and always looking for ways to make prospecting and top-of-funnel generation more scalable and more effective.

Why Join Us

You’ll help grow sponsorship revenue across a portfolio of media brands in attractive categories, including finance, consumer savings, crypto, and AI. You’ll also have the opportunity to help shape how AI is used inside the sales process, making this a strong fit for someone who wants to combine revenue generation with modern, AI-enabled execution.

We Believe In The Following Workplace Norms

• Allow OKRs to Guide Us
• Assume Positive Intent
• Agree to Disagree & Commit
• Set New Precedents
• Accomplish More with Less
• Hold Yourself & Others to High Standards
• Speak Up
• Be Resourceful
• Follow the 80/20 Rule

What We Are Offering

• We are a 100% remote-first, global company.
• A competitive compensation package.
• We offer generous perks & benefits to team members. 
• Participation in the Company's equity and token plan (for full-time team members).
• We provide individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal & work milestones.
• Remote social activities, including virtual coffee buddies. 
• Bonus.ly - we use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO and generous Company Holidays (for full-time team members).
• 10 annual Wellness Fridays.

If we just described you and your perfect role, we'd love to talk with you.  We have a lot to accomplish this year and look forward to making headway and creating success together!

Mode Mobile does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

Job Title: Senior Scientific Communications Manager        

Location: Remote          

Role Overview: We’re looking for a Senior Scientific Communications Manager to join our growing biotech team. This is a hands-on role for someone who enjoys turning complex scientific and clinical information into clear, accurate, and useful communications for a variety of audiences.

At a small startup, this person will wear multiple hats. You’ll help shape our scientific story externally and internally, while also building and supporting core Medical Information capabilities. That means creating high-quality scientific materials and helping ensure that medical inquiries are addressed in a timely, accurate, balanced, and compliant way.

This role is a great fit for someone who is scientifically strong, highly organized, comfortable with ambiguity, and excited to build processes in a fast-moving environment.

Key Responsibilities: 

Scientific Communications

• Develop and refine clear, compelling scientific messaging across programs and stages of development
• Draft and manage scientific content such as:
• slide decks
• congress materials
• medical Information letters
• medical affairs and training materials
• FAQs and background documents
• external sci comm projects (e.g. webinars, podcast, product theaters, symposia)
• Translate preclinical, translational, and clinical data into audience-appropriate communications
• Partner cross-functionally with Medical Affairs, Clinical Development, Regulatory, and company leadership to ensure scientific accuracy and message consistency
• Help prepare materials for advisory boards, investigator meetings, and scientific congresses
• Contribute to the development of the company’s scientific narrative as programs advance

Medical Information

• Help build and maintain core Medical Information content and processes in an early-stage company environment
• Develop, review, and update standard medical response documents and reference materials
• Research and synthesize literature and internal data to support responses to unsolicited medical inquiries
• Ensure responses are accurate, balanced, evidence-based, and compliant with internal and external requirements
• Partner with Medical Affairs, Regulatory, and Pharmacovigilance to support appropriate documentation and escalation of medical inquiries, adverse events, and product complaints, as applicable
• Maintain a library of response letters, FAQs, and scientific references
• Identify trends in incoming medical questions and share insights with internal stakeholders
• Support training of internal teams on scientific messaging and Medical Information processes
• Help manage external Medical Information vendors or agency partners, when applicable

Other Requirements: the ability to travel at least twice yearly to company all hands meetings and optionally to scientific conferences where you feel your presence is of value

Qualifications: 

• Advanced degree in life sciences preferred
• Approximately 5+ years of relevant experience in scientific communications, medical communications, medical affairs, medical information, or a related biotech/pharma function
• Experience in dermatology or immunology strongly preferred
• Strong scientific writing and editing skills, with the ability to tailor content to different audiences
• Solid understanding of drug development, clinical research, and interpretation of scientific data
• Experience supporting scientific communications deliverables such as presentations and congress materials
• Experience developing or reviewing Medical Information content is strongly preferred
• Strong attention to detail and commitment to scientific accuracy and compliance
• Able to work independently, manage multiple priorities, and adapt quickly in a startup setting
• Experience working with vendors, medical writers, or outsourced contact center/Med Info partners
• Collaborative, practical, and comfortable working across functions with limited structure

Qualifications:

• Required BA/BS in related discipline, a combination of relevant education and applicable job experience may be considered
• Advanced degree in life sciences preferred
• Experience in the dermatology or immunology therapeutic areas highly preferred
• 5+ years of relevant experience in publications, medical affairs, scientific communications, or medical writing within biotech, pharma, or a medical communications environment
• Knowledge of ICMJE recommendations, Good Publication Practice guidelines, and standard publication planning processes
• Strong experience managing scientific publications, including manuscripts, abstracts, and posters
• Demonstrated experience working with and managing external medical writing vendors or publications agencies
• Strong understanding of publication planning, congress execution, and scientific data communication
• Excellent project management skills with the ability to manage multiple complex deliverables simultaneously
• Strong written and verbal communication skills, including the ability to provide thoughtful editorial and strategic feedback
• High attention to detail and commitment to scientific accuracy, quality, and compliance
• Ability to work cross-functionally and build strong relationships in a collaborative, fast-paced environment
• Ability to operate with autonomy and help build processes where structure is still evolving
• The ability to travel twice yearly to company all hands meetings and optionally to scientific conferences where presence is of value

Compensation:

• An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity.
• The anticipated salary range for candidates, who will work remotely is $161,000 to $187,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states.

We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day.

About Arize AI

At Arize AI, we’re building the category-defining platform for AI observability, evaluation, and reliability.

AI is moving fast, but most teams are still flying blind once their agents hit production. We help teams understand how their agents behave, evaluate performance, and improve over time.

Our mission is simple: build the feedback loop that helps teams ship agents that actually work in the real world.

The Role

We’re looking for someone who thinks like a marketer and acts like a journalist to bring clarity to how modern AI systems are built and improved. This is a technical content role. You’ll work directly with engineers, researchers, and product teams to understand how AI systems actually work. Then, you’ll turn that into content that helps other engineers build, evaluate, and ship with confidence.

This role isn’t about summarizing ideas. It’s about extracting real workflows, pressure-testing them, and publishing content that’s immediately useful. You should already have a strong technical foundation. You’ll be expected to engage deeply with topics like evaluation, observability, agents, and LLM systems — and translate them without losing precision.

You’ll operate as both a strategist and a high-output individual contributor in a role where what you create ships quickly and gets used.

What You’ll Do

Write Technical Content That Engineers Actually Use

• Produce high-quality technical content: deep dives, guides, tutorials, and system-level explainers
• Break down complex topics (evals, agents, observability, prompt iteration) into clear, actionable workflows
• Focus on content that helps developers do something, not just understand something

Interview and Partner with Subject Matter Experts

• Work directly with engineers, researchers, and customers to extract insights and real-world workflows
• Ask strong technical questions and push for clarity where things are vague
• Turn conversations into structured, high-signal content

Define Content Strategy (and Execute It)

• Identify gaps in what developers are struggling with
• Prioritize and ship content that addresses those gaps
• Balance long-term narrative with immediate, high-impact output

Be an AI Native 

• Use AI tools to accelerate writing, editing, and research
• Build systems that increase content velocity without lowering quality
• Treat content as a compounding system, not a one-off deliverable

Work Cross Functionally

• Partner with Product, DevRel, and Marketing to ensure accuracy and relevance
• Align content with what’s actually shipping
• Contribute to how Arize explains AI engineering as a discipline

What We’re Looking For

Technical Background

You must be comfortable writing about: 

• Software engineering
• AI/LLM application development
• Developer workflows 

This is not a role for someone learning the space from the outside.

Content & Communication

• Strong writing and editing skills — you can explain complex systems clearly without oversimplifying
• Experience creating technical content (blogs, guides, docs, or similar)
• Ability to interview SMEs and turn conversations into structured, useful content 

Operator Mindset

• You can think strategically and execute tactically
• You ship consistently and take ownership of output
• You’re comfortable working in a fast-moving, high-ownership environment

AI-Native Workflow

• You actively use AI tools in your day-to-day work
• You think in terms of leverage, iteration, and systems
• You’re interested in how AI changes how content gets created

Nice to Have

• Experience building or working with LLM-based systems (RAG, agents, eval frameworks)
• Experience writing tutorials or developer documentation
• Background spanning both technical work and editorial/journalism

Why This Role Matters

AI systems are getting more complex, and harder to reason about.

The limiting factor for most teams isn’t access to models. It’s understanding:

• what to evaluate
• how systems fail
• how to improve them

Your job is to make that legible for engineers who are actively building.

Why Arize

• • Work at the center of the AI engineering ecosystem
  • Help define how AI systems are evaluated and improved
  • Build content that reaches and helps real practitioners
  • High ownership, fast iteration, and direct impact

Salary Range $160,000-$190,000 plus a generous equity package depending on experience

The Role

We’re looking for a Technical Product Manager to own Gensyn’s core infrastructure systems -  foundational primitives such as REE (verifiable execution of AI/ML workloads) and AXL (p2p networking for AI agents) along with the execution, coordination, and training layers that power our decentralized AI protocol.

This is a 0–1 role. You will shape low-level infrastructure, define developer-facing surfaces, and help identify how our tech reaches real product-market fit.

Responsibilities

• Own product direction and delivery for core infrastructure systems.
• Partner with engineering and research to shape complex systems into usable products.
• Translate distributed systems and ML workflows into clear developer-facing abstractions.
• Define APIs, SDKs, and workflows that enable others to build on the protocol.
• Engage directly with technical users (ML Engineers & Researchers) to identify friction and improve usability.
• Identify and validate early product-market fit through use cases and design partners.
• Connect technical capabilities to real-world and commercial outcomes.
• Define and track metrics for adoption, reliability, and developer satisfaction.
  
  

Competencies

Must have

• Experience in early-stage or high-growth startups with high ownership and ambiguity.
• Proven ability to drive product delivery across technical teams, especially in infrastructure, platform, or developer-facing systems.
• Strong technical communication skills and the ability to translate complex systems into clear product direction and user value.
• Background in domains such as distributed systems, compute platforms, compilers, or APIs/SDKs.
• Experience building for technical users (engineers, developers, researchers), with strong empathy for developer workflows and integration pain points.
• Ability to connect technical systems to real-world use cases and commercial outcomes.

Preferred

• Experience with AI coding/prototyping tools (e.g., Cursor, Codex, Claude Code, GitHub Copilot).
• Experience owning core infrastructure or developer platforms end-to-end.
• Experience working in research-heavy or AI/ML-driven environments.
• Experience taking technically novel systems toward product-market fit.
• Exposure to decentralized or protocol-based systems.

Nice to have

• Hands-on programming experience (Python, Go, Rust, or similar).
• Open-source contribution or community experience.

About the role:

We’re looking for a Senior Machine Learning Engineer to accelerate our AI research-to-production pipeline. You’ll build and improve the infrastructure that enables our research team to rapidly deploy and safely test new models, while helping ensure our production inference systems remain efficient, scalable, and reliable. You’ll identify gaps and opportunities in our ML infrastructure, scope solutions to ambiguous technical problems, and help set the technical direction for how we bridge research innovation and production reliability. This role requires a strong backend engineering background in distributed systems and containerization, and a track record of independently driving projects from concept to delivery. This is a cross-functional role that requires close collaboration with both research teams developing models and engineering teams supporting the broader platform.

What You’ll Do:

• Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production 
• Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
• Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
• Develop and maintain user-facing APIs that interact with our ML systems
• Implement comprehensive observability solutions to monitor model performance and system health
• Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures
• Set the direction for and continuously improve our MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production.
• Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.

What You’ll Need:

• Strong backend engineering experience with Python
• Experience building and operating distributed, containerized applications, preferably on AWS 
• Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems
• Ability to design and implement resilient, scalable architectures
• Track record of independently scoping and delivering complex technical projects from problem identification through production deployment
• Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving

An ideal candidate should also have some of the following:

• MLOps experience, including familiarity with PyTorch and Kubernetes
• Experience working in fast-paced environments where you owned technical direction for an area and drove projects with minimal oversight.
• Experience collaborating with remote, globally distributed teams
• Comfort working across the entire ML lifecycle from model serving to API development
• Experience in audio-related domains (ASR, TTS, or other domains involving audio processing)
• Experience with other cloud providers
• Familiarity with Bazel and monorepos
• Experience with alternative ML inference frameworks beyond PyTorch
• Experience with other programming languages
• Experience mentoring junior engineers or onboarding teammates onto complex systems

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $195,000 - $225,000

Job Purpose:  

Shields Health Solutions is looking to add a Business Development Associate to supplement its growing business development team. This will be a very hands-on and analytical role, touching every aspect of the business development process with high visibility to the Shields Executive Leadership Team and C-level executives at our hospital partners. We are looking for a self-starter and highly motivated individual to own work products from start to finish and make an immediate impact on the team. 

It is preferred that the candidate live in EST/CST time zones.

Job Duties:  

• Lead and own the creation of detailed analyses, financial models, and pitch materials for new health system partners and new business opportunities 

• Work closely with sales and clinical leaders to develop a partnership strategy based on health system needs and financial data  

• Serve as part of the client-facing deal team, presenting financial and strategic analyses to health system leadership  

• Support the execution of new business and strategic initiatives for senior leadership 

• Perform comprehensive and in-depth competitor, new business, and industry research 

• Organize and prioritize critical issues and required information for the leadership team to facilitate efficient decision making  

• Work with cross-functional teams to support new partnerships and provide client-oriented solutions 

Experience/Education: 

• Bachelor’s Degree or equivalent experience required.
• 2-3 years of experience working in an analytically intensive field (investment banking, management consulting, corporate development) or business development operations experience at another high growth company 

• Entrepreneurial attitude - willingness to roll up their sleeves and work alongside staff to make things happen quickly 

• Self-starter who is able to work independently with limited oversight from managers  

• Highly motivated and results-driven professional who thrives in a team-oriented environment 

• Analytically oriented person who makes and defends decisions based on hard data 

• Experience and interest in presenting to C-level executives 

• Strong Excel and PowerPoint skills, including financial modeling and data visualization 

• Outstanding written and verbal communication skills 

• Healthcare experience or passion for the industry is a plus 

• Professionals will likely travel 25% of their time, meeting with partners 

Job Salary: 

Range between $100,000 to $120,000.

*In addition to offering annual bonus potential, salary determinations at the time of offer may vary based on multiple differentials including but not limited to:

• Specialized Skills
• Training
• Experience
• Education

Remote | Full-time

Born in the Basque Country and built for the world, ZenRows is one of the fastest-growing data infrastructure startups in Europe. We work 100% remotely and hire the best people regardless of where they are.

Founded in 2021, we started as a scraping API for developers. In 2026, we are evolving into something bigger: the data collection infrastructure layer for the AI era. Thousands of companies across e-commerce, finance, real estate, and AI rely on ZenRows to power their data pipelines. Now, we're building for the next generation of users: workflow builders, AI engineers, and business teams who don't write code but need data to flow reliably through their systems.

We're looking for a Head of Content to own how ZenRows is discovered, understood, and trusted across LLMs, developer communities, integration ecosystems, and the open web.

The Role

This is not a content volume role. It's a content positioning role.

The way developers and technical teams discover tools has fundamentally changed. Google search is no longer the only, or even the primary surface. Developers ask ChatGPT. Business users ask Gemini. AI engineers search Perplexity. Workflows are built inside Clay, n8n, and Make, where discovery happens through directories, templates, and community recommendations.

Your job is to make ZenRows the trusted, cited, recommended answer across all of these surfaces, not just in Google's top 10.

You'll work closely with Product, Sales, and the GTM Engineer to ensure content is a genuine growth engine, not a support function.

What You'll Own

🔍 AEO, GEO & Discoverability Strategy

This is the core of the role.

• Own ZenRows' Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy: ensuring we are the cited, recommended answer when developers and AI engineers ask about web scraping, data collection, workflow automation, and data pipelines
• Understand how LLMs (ChatGPT, Gemini, Claude, Perplexity) surface and prioritize content, and build a strategy around it
• Develop structured, citation-friendly content formats: comparison pages, definitional guides, integration explainers, and technical FAQs that earn LLM citations
• Own competitive intelligence: track how competitors are being cited, recommended, and positioned in AI search

📊 SEO Strategy & Content Operations

• Own ZenRows' organic search strategy end-to-end: keyword research, topic prioritization, content gap analysis, and competitive benchmarking, with a clear view of where SEO still drives meaningful pipeline and where it doesn't
• Lead content operations: manage the editorial calendar, maintain publishing velocity, and ensure quality standards across in-house writers, freelancers, and external agencies
• Manage, and develop a team of technical writers and editors, setting clear briefs, review processes, and feedback loops that raise the floor on content quality without creating bottlenecks
• Own the relationship with external content agencies: briefing, quality control, performance review, and deciding what stays in-house versus what gets outsourced
• Develop and maintain off-page SEO strategy: link acquisition, guest publishing, and building the kind of third-party authority signals that reinforce ZenRows' position in both traditional search and LLM training corpora
• Work closely with Engineering on technical SEO: site architecture, crawlability, Core Web Vitals, structured data markup, and indexing health, you won't do this alone, but you'll own the roadmap and hold the team accountable
• Maintain a content performance framework: define and track the metrics that matter (organic traffic, keyword rankings, assisted conversions, LLM citation frequency) and use them to make prioritization decisions, not just report on them
• Continuously audit the existing content library for decay, cannibalization, and coverage gaps, and make the hard calls about what gets updated, consolidated, or cut

🧑‍💻 Developer Education & Docs-as-Marketing

• Turn ZenRows' documentation into a top-of-funnel acquisition channel. Think Stripe's docs: content that ranks, educates, and converts, not marketing fluff disguised as technical writing
• Build actionable, developer-focused resources: integration tutorials, use-case walkthroughs, SDK examples, and migration guides
• Create content specifically for the AI/LLM data pipeline audience: tutorials on using ZenRows for RAG pipelines, AI agents, training data collection, MCP server integrations, and agentic workflows
• Collaborate with Engineering and Product to ensure documentation is accurate and genuinely useful
• Partner with DevRel to amplify technical content across developer communities

🔗 Ecosystem & Integration Content

This is new territory for ZenRows, and one of the highest-leverage content surfaces in 2026.

• Build and maintain a library of integration content: how ZenRows works inside Clay, n8n, Make, Zapier, LangChain, LlamaIndex, and other workflow and AI platforms
• Create content that earns ZenRows a presence in integration marketplaces and community directories, not just Google
• Partner with the Partnerships Manager on co-marketing content: joint guides, partner-specific tutorials, template libraries
• Develop content that serves workflow builders and automation teams: non-developer technical users building workflows and automation without writing code

📈 PLG Content & Activation

• Build a content-led activation flywheel: blog post attracts developer → documentation helps them succeed → integration guide shows them what's possible → usage converts to paid
• Partner with Product and Growth on in-app content, onboarding flows, and activation-focused tutorials
• Own the content layer of the trial-to-paid conversion journey

🤝 Sales Enablement & Enterprise Content

• Support Sales with high-impact materials: competitive battle cards, use-case one-pagers, ROI narratives, and case studies
• Develop positioning content for workflow builders and automation teams, as well as business users who interact with data through AI tools and LLM interfaces
• Build and maintain a lean, current library of sales enablement assets, prioritize quality and relevance over volume

👥 Team Leadership

• Lead, mentor, and develop the existing content team
• Define and maintain editorial standards and brand voice across all content types
• Build a culture of experimentation and outcome orientation, not content volume
• Scale through leverage: AI-assisted workflows, freelance network, and smart prioritization

The Person

We're looking for someone who thinks in distribution systems, not publishing calendars.

Required

• 5+ years in content, growth, or developer marketing, ideally at a B2B SaaS, API, or developer infrastructure company
• Deep understanding of AEO and GEO: you know how LLMs source and surface answers, and you've thought about what it means for content strategy
• Technical fluency in developer tools, APIs, or adjacent infrastructure. You don't need to be an engineer, but you need to be able to write or edit a Python snippet, understand what a headless browser does, and explain a web scraping use case to a non-technical audience
• Proven experience building content for both self-serve/PLG and integration-led or enterprise motions
• Strong editorial judgment, you can tell the difference between content that educates and content that fills a calendar
• Experience building and maintaining integration or ecosystem content: tutorials, partner guides, marketplace presence
• Comfortable operating in a fast-moving, autonomous environment without heavy process
• Fluent in English (we are an English-first organization)

Strong Advantage

• Experience with workflow automation platforms (Clay, n8n, Make, Zapier) from a content or product perspective
• Familiarity with the LLM/AI agent ecosystem: LangChain, LlamaIndex, CrewAI, RAG architectures
• Experience evolving or rebuilding a content function through a GTM pivot, not just building from scratch
• Track record of content that drove ecosystem or community-led growth, not only organic search traffic
• Experience using AI-assisted tools to automate content operations at scale (n8n, Claude Code, or similar)

This Role Is Not For Everyone

• We are a small, efficient team of ~20 competing against companies 10x our size. Ownership is real, there is nowhere to hide
• We are fully remote, which means documentation and async communication are essential
• Feedback is constant and candid. Strong opinions are welcomed and debated
• We are scaling fast. Processes evolve. Priorities shift. If you need rigid structure, you may struggle
• We just made a significant strategic pivot. Some things that worked before won't work the same way. You'll need to be comfortable with that ambiguity

Why You'll Love Working Here

• You will own the entire content function at a critical inflection point, the work you do in 2026 will shape the company's market position for years
• Genuine autonomy. You will be trusted, not micromanaged
• Direct access to leadership, our CEO is accessible and values world-class talent
• 100% remote, forever
• A horizontal culture where contributing beyond your job description is expected and celebrated
• You'll be working at the intersection of developer tools, workflow automation, and the AI agent ecosystem, one of the most interesting spaces in tech right now

What Rewards and Benefits Would I Get?

• 100% remote work: true location freedom
• The salary you are worth: we focus on value, not previous compensation
• The equipment you want: choose the tools you need
• Generous Learning & Development budget: courses, materials, growth support
• BitWarden Account for secure password management
• Annual Kick-Off: yearly team event in a new location
• Barcelona Meetups throughout the year
• Deel Benefits: discounts on services, subscriptions, travel, and more
• Access to world-class colleagues reinventing an industry

Our Values

Ownership, Dedication, Impact, Transparency, and Agility run through everything we do. We're a sociable company and don't let a remote model stop us from feeling connected. The atmosphere is friendly, supportive, and driven by a constant desire to improve.

Diversity, Equity & Inclusion

At ZenRows, we are committed to diversity, equity, and inclusion and recognize we can always do more. Every job description is reviewed through a gender bias decoder to ensure inclusivity. We aim to nurture a welcoming and safe environment for everyone.

Privacy and Your Data

At ZenRows, we prioritize the privacy and security of data entrusted to us. We comply with all applicable data protection regulations and industry best practices. Any job offer will be subject to successfully passing background checks.

Who We Are (Mode Mobile)

Mode Mobile is the creator of EarnOS, a transformational software that turns ordinary smartphones into "EarnPhones". This innovation empowers users globally to monetize everyday mobile activities such as streaming, gaming, shopping, etc. We enable users to profit from their data and attention, rather than letting only tech giants benefit. What sets us apart is our inclusive approach - converting users into earners, facilitating over $150M in earnings and savings, while going a step further and turning earners into owners by awarding stock ownership in Mobile Mobile based on their usage. We have attracted over 40 million users across 170 countries. 

​​Mode Mobile is proud to stand as the #1 Fastest Growing North American Software Company recognized in Deloitte's 2023 Technology Fast 500, and ranked #2 across all sectors.

For additional insights check out the information about our reward-based super app, Mode Earn App, that also powers the reward engine behind our proprietary smartphone, Mode Earn Phone.

Our Team and Culture Drive Our Success

Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

You can read more about our team and how we work here.

The Role

Mode Mobile is seeking a Senior Product Manager to lead product strategy and execution for a recently acquired multimillion dollar utility app. Over time, you’ll expand your ownership to other newly acquired and organically developed mobile applications. This is a senior-level, high-ownership role for a proven product leader who combines business acumen, operational excellence, and user empathy.

You will be responsible for continuing to grow and optimize a mobile app with over 2M DAU with annual revenue exceeding $10M. And as you take on new products, you’ll work to identify high opportunity strategies that can drive growth and profitability, driving meaningful business outcomes.  You will work closely with the Director of Product and General Manager of your business unit, cross-functional teams, and executives to establish the roadmap, lead teams, and set the bar for world-class product management.

Key Responsibilities

• Define and lead a vision for your products that aligns with organizational goals
• Develop strategic product-feature roadmaps and drive execution from concept to scale by analyzing and implementing best-in-market trends and out-of-the-box ideas.
• Collaborate with Engineering, Design, User Acquisition, Monetization, and Data teams to deliver value-driven, measurable results.
• Own business and product performance, including revenue, engagement, conversion, retention, and P&L outcomes, and financial forecasts.
• Conduct ongoing experimentation, user and competitor research to support strategic decision making that drives monetization and user growth
• Provide visibility into business performance and communicate results clearly to executive stakeholders and the broader organization
• Serve as a role model and standard-setter for product excellence for your cross-function team

Who You Are

• A strategic, business-minded product leader with deep understanding of P&L ownership and revenue drivers.
• A self-starter who thrives in ambiguity and operates with high accountability in driving efficient product pipelines.
• Experienced leading product dev teams to drive engagement and impact on the product and business.
• Expert at balancing user value with business impact, ensuring that both scale together.
• Skilled at using data, A/B experimentation, and intuition to make the best possible decisions.
• A natural collaborator who communicates effectively across all levels of the organization.
• Alignment with our core values:
  
  • ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.
  • Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.
  • Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.
  • Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.
  • Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

Qualifications

• 7+ years of professional product management experience, including 3+ years of independently owning a product / business line.
• Proven experience managing products with P&L accountability and delivering measurable business outcomes.
• Experience in mobile app ecosystems, with strong understanding of  subscription, IAP, and IAA monetization strategies. Experience with utility apps, rewarded ecosystems, social and gaming apps is a plus.
• Demonstrated success within multi-app portfolios.
• Strong analytical skills; proficiency in data tools such as Mixpanel, Google Sheets, and business performance dashboards.
• Excellent written and verbal communication, capable of influencing at the executive level.

Why This Role Matters

If you want a role that is high-impact, this is the one for you. You’ll be the ringleader for one of Mode’s most successful mobile apps that drives major impact for millions of users all across the globe and generates ~$10M/yr for the business. Your success here can help create blueprints for our aggressive expansion through in-house products and M&A, and lead to opportunities across our portfolio.

Bring ambition. Bring curiosity. Bring energy. We’ll iterate from there!

We Believe In The Following Workplace Norms

• Allow OKRs to Guide Us
• Assume Positive Intent
• Agree to Disagree & Commit
• Set New Precedents
• Accomplish More with Less
• Hold Yourself & Others to High Standards
• Speak Up
• Be Resourceful
• Follow the 80/20 Rule

What We Are Offering

• We are a 100% remote-first, global company.
• A competitive compensation package.
• We offer generous perks & benefits to team members. 
• Participation in the Company's equity and token plan (for full-time team members).
• We provide individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal & work milestones.
• Remote social activities, including virtual coffee buddies. 
• Bonus.ly - we use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO and generous Company Holidays (for full-time team members).
• 10 annual Wellness Fridays.

If we just described you and your perfect role, we'd love to talk with you.  We have a lot to accomplish this year and look forward to making headway and creating success together!

Mode Mobile does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

The Community You Will Join:

Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace.

The Difference You Will Make:

As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. 

This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app.

The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love.

A Typical Day:

• Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets.
• Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions.
• Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits
• Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact.
• Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables.
• If you’re passionate about going deep into personalized user experiences, we want to hear from you!

Your Expertise:

• Causal inference expertise with marketplace experience
• Preferred domain experience in search, UX discovery, personalized evidence systems
• Advanced degree in Computer Science, Statistics, Econometrics or related field.
• 9+ years of industry experience with a PhD (or 12+ years with a Masters)
• Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience.
• Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems.
• Proven ability to succeed in both collaborative and independent work environments
• Demonstrated willingness and track record of engagement with the technical community

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Who We Are (Mode Mobile)

Mode Mobile is the creator of EarnOS, a transformational software that turns ordinary smartphones into "EarnPhones." This innovation empowers users globally to monetize everyday mobile activities such as streaming, gaming, shopping, etc. We enable users to profit from their data and attention rather than letting only tech giants benefit. Our inclusive approach sets us apart - converting users into earners and facilitating over $150M in earnings and savings while going a step further and turning earners into owners by awarding stock ownership in Mobile Mobile based on their usage. We have attracted over 40 million users across 170 countries.  

​​Mode Mobile is proud to stand as the #1 Fastest-Growing North American Software Company recognized in Deloitte's 2023 Technology Fast 500 and ranked #2 across all sectors.

For additional insights, check out the information about our reward-based super app, Mode Earn App, which also powers the reward engine behind our proprietary smartphone, Mode Earn Phone.

Our Team and Culture Drive Our Success

Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

You can read more about our team and how we work here.

The Opportunity

The new Market Research business unit will be focused on data monetization, market intelligence, and research-driven revenue. The General Manager of Mode Market Research will build this business from the ground up, own multiple revenue streams, and turn underutilized data assets into meaningful profit centers. We are looking for a founder-minded General Manager to build this business from zero to recurring, enterprise-grade revenue.

The GM of Mode Market Research will own four data monetization segments and one existing web product. The mission is to create revenue lines, structure partnerships, collaborate with the Chief Data Officer and product teams, and scale each business into an independent profit engine with dedicated staff. The first phase is hands-on execution. Hiring follows once revenue baselines are met. This role blends data strategy, partnerships, product execution, and full P&L responsibility.

This is not a traditional management role. This is a revenue-building, hands-on operator role with full ownership.

AI & Data Innovation Ownership

• Design and implement AI-driven data products, including predictive models, LLM-powered insights, and automated reporting tools
• Leverage modern AI stacks (e.g., LLMs, embeddings, vector databases) to transform raw datasets into scalable intelligence products
• Identify opportunities to replace manual workflows with agentic AI systems that accelerate revenue generation
• Partner with the Chief Data Officer to integrate AI capabilities into Mode’s data infrastructure and EarnOS ecosystem

What You’ll Own

Audience and Profile Data Monetization

Build Mode’s audience and profile data business by defining datasets, structuring a centralized data lake, and partnering with major marketplaces.

• Monetize email lists, user profiles, and audience data across Mode’s product portfolio
• Partner closely with the Chief Data Officer to structure scalable data pipelines
• Establish and manage partnerships with data marketplaces and identity platforms (e.g., LiveRamp, Experian, and similar platforms)
• Build revenue before adding dedicated sales support

Receipt Scanning and Commerce Intelligence

Turn existing receipt-scanning and Trimbox shopping data into institutional-grade purchase intelligence.

• Standardize purchase and transaction data across Mode product lines
• Collaborate with the Chief Data Officer and product teams to ensure data quality, consistency, and usability
• Establish direct sales relationships and channels with hedge funds and research buyers

App Usage, Installed App Graph, and Web Behavior

Scale Mode’s market-data business by selling insights directly to enterprise buyers.

• Expand Mode’s app usage and behavioral intelligence offerings beyond SDK-based monetization 
• Co-own the vertical in partnership with the GM of Mode Earn App
• Work with the Chief Data Officer to improve data completeness, coverage, and reliability

Location Data Monetization

Rebuild Mode’s geo-data revenue line and expand it with new high-value partners.

• Identify up to three profitable location-data partners
• Work with the product org on integration
• Co-own this vertical with the GM of Earn App

Who You Are

You are a founder-style builder who:

• Has built or scaled 6-7 figure ARR in data, SaaS, or analytics businesses
• Has sold directly to enterprise or institutional buyers
• Thinks in terms of margin and lifetime value
• Is comfortable operating without a large team
• Moves quickly and eliminates ambiguity
• Understands privacy frameworks and data governance standards

You are as comfortable closing a contract as you are defining the product.

Success Profile

The ideal candidate collaborates closely with product, data, business development, and revenue. You’ll execute quickly, eliminate ambiguity, and build repeatable revenue lines from assets that already exist within the business. You are comfortable starting as an operator and evolving into a leader who hires and manages a small team.

Why Join Mode Mobile

• Be part of a company where the culture is the magic. Our team consistently says the best part of Mode is the people - collaborative, humble, hungry, and genuinely invested in each other’s success.
• Make an impact on millions of users across a global social platform with massive scale and cultural relevance.
• Work with a global, top-tier engineering team that cares deeply about craftsmanship, velocity, and helping each other win.
• Shape the next stage of a high-growth social platform, entering an exciting next phase of growth, scale, and innovation.
• Join a mission-driven culture where ownership is real, ideas travel fast, and your work has a visible impact.
• Grow inside a fast-growing, post-acquisition business backed by strong leadership and investment in monetization, UA, and product innovation.
• Work fully remote with a globally distributed team that values autonomy, trust, and transparent collaboration.

Alignment with Our Core Values:

• ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.
• Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.
• Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.
• Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.
• Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

We Believe in the Following Workplace Norms

• Allow OKRs to Guide Us
• Assume Positive Intent
• Agree to Disagree & Commit
• Set New Precedents
• Accomplish More with Less
• Hold Yourself & Others to High Standards
• Speak Up
• Be Resourceful
• Follow the 80/20 Rule

What We Are Offering

• We are a 100% remote-first, global company.
• A competitive compensation package.
• We offer generous perks & benefits to team members. 
• Participation in the Company's equity plan (for full-time team members).
• We provide individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal and work milestones.
• Remote social activities, including virtual coffee buddies. 
• Bonusly - We use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).

If we just described you and your perfect role, we'd love to talk with you.  We have a lot to accomplish this year and look forward to making headway and creating success together!

Mode Mobile does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

About the role 

(Remote but Chicago or Seattle preferred)

As LogicGate’s Head of Product Marketing, you will lead a team of product marketing professionals and play a key role in LogicGate’s growth and industry leadership. If you’re passionate about understanding buyers and telling interesting, compelling, and relevant product stories, we’d love to talk with you!

You’ll report to our CMO and represent the voice of our customers and the market, drive adoption of our offerings through product launches and go to market strategy development, and partner with our sales, alliances, and customer teams to drive customer growth and retention. To thrive in this role, you’ll need to become an expert in our industry landscape, and be effective at building go to market strategies–translating product features and benefits into materials that move our sales, customers, and LogicGate brand forward.

You and your team will help create go to market strategies to drive interest and preference for our platform; deliver high-value content that attracts, engages, and educates prospects, customers, and industry leaders, as well as high-impact materials and insights to help internal teams understand and properly position LogicGate and our offerings in the market.

How you’ll spend your time:

• Team leadership - Build and manage a high-performing product marketing team providing guidance, coaching, and mentorship.  Set clear goals that map to the organization's and marketing’s priorities and objectives and manage the team to accomplish them.
• Product strategy & planning - collaborate with product management to shape product roadmaps, prioritize feature and launch planning.
• Messaging & positioning - conduct market research to identify customer needs and develop value propositions and messaging frameworks that differentiate LGs products.  Own the development of product-specific marketing materials, including whitepapers, case studies, webinars, data sheets, product briefs, blogs, battle cards, etc.
• Product Development Lifecycle - Create and execute the go to market plans for new product and feature launches, including gated phases for testing, pricing, positioning, and enablement.
• Team enablement - Develop sales tools/training materials and empower our enablement teams to deliver product training to all relevant teams.
• Marketing campaigns - Collaborate with the marketing team to develop messaging, campaign strategies, and target audience helping them execute more impactful campaigns.
• Technology/integrations - Develop the messaging and content for integration partners.
  
  

We get excited about you if you have:

• 10+ years of experience in product marketing or product management in a B2B SaaS environment, preferably in the GRC, Cybersecurity, Compliance, RegTech or related industries
• Excellent communication skills - both written and verbal. We’ll ask to see samples of your writing as part of the interview process
• The ability to coordinate complex projects, such as product launches and go to market planning
• Experience leading a team or have done a lot of “leadership by influence”
• You’re a natural storyteller and understand the interplay of words and visuals to simplify and articulate complex concepts
• A passion for working with sales teams, product teams, and other marketers
• Bonus points - you understand the needs of our buyers, especially information security, risk management, and compliance professionals

The anticipated on-target earnings range for the role is $188,000 - $235,000 per year + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

We are seeking a highly motivated and results-driven Business Development Manager – West to join our dynamic team at Quantum-Si to uncover and create new business opportunities for Quantum-Si’s next generation protein sequencing products. The ideal candidate will be a self-starter with a hunger for success, capable of driving prospecting efforts and closing deals to achieve sales targets. This role offers the opportunity to work with cutting-edge technologies and make a significant impact in the life sciences community.   

As part of our team, your core responsibilities will be:  

• Prospecting and lead generation:  

• Aggressively hunt, identify, and research potential clients across academia, bio/pharma, biotech, and industry. 

• Conduct proactive outbound prospecting activities, including cold calling, email outreach, tradeshows and regional events. 

• Qualify leads based on their needs, budget, and purchasing authority. 

• Nurture relationships through regular follow ups and engagement. 

• Closing business: 

• Develop and maintain a robust sales pipeline of qualified opportunities. 

• Manage opportunities closely, provide strong forecasting updates, and deliver accurate insights into revenue and adoption.  

• Track and prioritize opportunities to ensure timely and efficient sales cycles. 

• Create and execute effective sales strategies to close capital deals, exceed sales targets, drive consumable revenue growth. 

• Negotiate pricing, terms, and contracts with clients to ensure mutually beneficial agreements that achieve optimal outcomes for both parties. 

Qualifications 

Baseline skills/experiences/attributes: 

• Bachelor’s degree in life science preferred.  

• 4+ years of quota carrying outside sales.   

• Capital sales experience in the research and tools space market with a focus on Proteomics and DNA sequencing. 

• Strong relationships in Pharma, biotech and academic research organizations is desired.  

• Demonstrated track record in lead generation and prospecting.  

• Proven track record of meeting and exceeding sales targets year over year.   

• Strong desire to win business and establish long-term customer relationships.   

• Confident energetic “Hunter” mentality.   

• Highly adaptable and independent.   

• Thrives in a rapidly growing start-up environment. Can pivot when necessary, with a positive attitude.   

• Excellent verbal, written, and computer skills.   

• Take initiative with a strong growth mindset.   

• Mastery of Miller Heiman Strategic and Conceptual selling. 

• Ability to travel smart and maximize commercial productivity in each trip traveled.  Required travel: 60-80% 

• Work is accomplished in a proactive manner without considerable direction.  Able to independently create and develop resolution to complex problems while meeting objectives/goals. 

• Ideally located in San Francisco area or San Diego area, other locations along the west coast will be considered 

Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!): 

• Graduate degree in life sciences strongly preferred.  

• Channel sales experience 

The estimated base salary range for this role is: $150,000 - $180,000. Compensation decisions are dependent on several factors including, but not limited to, level of the position, an individual’s skills, knowledge and abilities, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all full-time employees are eligible for our discretionary bonus program and equity as part of the compensation package.   

Quantum-Si does not accept agency resumes. 

Quantum-Si is an E-Verify and equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. 

Reporting to the Director of Clinical Training, the Senior Program Manager, Clinical Training and Global Programming will develop the strategy for Spring Health’s global training and programming, serve as the SME for global webinars/WellSprings, coordinate the logistics for training and programming, ensure quality member experience for the global population, meet with customers to develop customized training and programming for our larger global accounts. This is a full time remote position seated in Europe, Middle East, or Africa. Travel will be required up to 30% of the time for in person trainings.

What you’ll do: 

• Serve as the primary Project Manager for Global (Non US) Clinical Training and Programming
• Serve as a SME on Global Clinical Training and Programming, including across time zones, cultures and languages
• Develop and implement a Global Clinical Training and Programming strategy that is sustainable for continued growth
• Coordinate logistics such as creating virtual events platforms, finding clinical providers, ensuring materials are prepared, tracking reporting and evaluation metrics 
• Work closely with large Jumbo customers to consult on Training and Programming planning, including partnering with internal stakeholders to consult, manage and advise customers.
• Work closely with the Global team regarding strategy and implementation
• Partner with US Program Managers to plan and coordinate training and programming
• Ensure we are measuring training and program effectiveness
• If possible, involved in some delivery and/or producing of events
• Will take a leadership role in planning for global programming related to events such as World Mental Health Day

What success looks like in this role:

• Develop and roll out a Global Training and Programming calendar, procedures and process to request and deliver clinical events globally
• Optimize efficiency for meeting customer needs related to Clinical Programming and Training
• Maintain customer satisfaction with training/programming as measured by average Kirkpatrick level 1 scores above 4.5 out of 5.0.

What you’ll bring: 

• Clinical license or equivalent in your country
• 3-5 years of experience in facilitation and event planning
• You have complete knowledge and understanding of the unique global challenges, potential solutions, and Clinical Training and Programming
• Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors. You build solutions based on limited information and precedent and adapt existing approaches to resolve issues.
• Enhance relationships with senior internal/external partners who are not familiar with the subject matter. You adapt style and messaging to varying audiences and often advise on difficult matters. 
• You have complete knowledge of Program Management and data evaluation
• You have complete knowledge of Google Suite, Zoom, and additional events platforms as needed
• You have a solid understanding of instructional design and content development, including strong working knowledge of Adult Learning Principals.
• You are knowledgeable about training evaluation techniques.
• You communicate effectively with customers and fellow Spring team members

The target base salary range for this position is 60,000 - 69,000 GBP Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Reporting to the Director of Clinical Training, the Senior Program Manager, Clinical Training and Global Programming will develop the strategy for Spring Health’s global training and programming, serve as the SME for global webinars/WellSprings, coordinate the logistics for training and programming, ensure quality member experience for the global population, meet with customers to develop customized training and programming for our larger global accounts. This is a full time remote position seated in Europe, Middle East, or Africa. Travel will be required up to 30% of the time for in person trainings.

What you’ll do: 

• Serve as the primary Project Manager for Global (Non US) Clinical Training and Programming
• Serve as a SME on Global Clinical Training and Programming, including across time zones, cultures and languages
• Develop and implement a Global Clinical Training and Programming strategy that is sustainable for continued growth
• Coordinate logistics such as creating virtual events platforms, finding clinical providers, ensuring materials are prepared, tracking reporting and evaluation metrics 
• Work closely with large Jumbo customers to consult on Training and Programming planning, including partnering with internal stakeholders to consult, manage and advise customers.
• Work closely with the Global team regarding strategy and implementation
• Partner with US Program Managers to plan and coordinate training and programming
• Ensure we are measuring training and program effectiveness
• If possible, involved in some delivery and/or producing of events
• Will take a leadership role in planning for global programming related to events such as World Mental Health Day

What success looks like in this role:

• Develop and roll out a Global Training and Programming calendar, procedures and process to request and deliver clinical events globally
• Optimize efficiency for meeting customer needs related to Clinical Programming and Training
• Maintain customer satisfaction with training/programming as measured by average Kirkpatrick level 1 scores above 4.5 out of 5.0.

What you’ll bring: 

• Clinical license or equivalent in your country
• 3-5 years of experience in facilitation and event planning
• You have complete knowledge and understanding of the unique global challenges, potential solutions, and Clinical Training and Programming
• Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors. You build solutions based on limited information and precedent and adapt existing approaches to resolve issues.
• Enhance relationships with senior internal/external partners who are not familiar with the subject matter. You adapt style and messaging to varying audiences and often advise on difficult matters. 
• You have complete knowledge of Program Management and data evaluation
• You have complete knowledge of Google Suite, Zoom, and additional events platforms as needed
• You have a solid understanding of instructional design and content development, including strong working knowledge of Adult Learning Principals.
• You are knowledgeable about training evaluation techniques.
• You communicate effectively with customers and fellow Spring team members

The target base salary range for this position is 123,200 -141,680 CHF. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Product Designer

About Sharebite

Sharebite is the leading meal benefits platform built exclusively for companies to feed their employees. Our platform allows employees to order meals from any restaurant while streamlining all of the ordering & billing requirements for the company. Every meal ordered through the Sharebite platform results in a meal donation to local partners like City Harvest and Feeding America to help combat food insecurity. To date, Sharebite has donated over 15 million meals.

The Role

The Design team at Sharebite ensures products serve our customer’s needs in easy-to-use, enjoyable, and innovative ways. Our department is dedicated to enhancing and redefining the corporate food space, constantly raising the bar on delightful and intuitive product experiences. As a Product Designer, you will be responsible for owning the end-to-end design of core features within our platform, turning complex user needs into effortless experiences. We are seeking a Product Designer with professional experience shipping digital products and a deep passion for user advocacy. This role represents the core of Design execution at the organization, collaborating closely with Product Managers and Engineers to deliver polished, high-impact solutions that solve real problems.

What You’ll Do

• Feature Execution: Take ownership of specific features (e.g., "Revamping the Checkout Flow") from concept to pixel-perfect handoff.
• Design Exploration & Execution: You will translate requirements and user insights into initial wireframes, flows, UI concepts, and high fidelity mockups.
• Prototyping: Create interactive prototypes to validate ideas with users before engineering begins.
• Cross-Functional Collaboration: Work daily with engineering to ensure your designs are technically feasible and implemented correctly.
• User Advocacy: Use data and research to advocate for the user, ensuring we never ship friction.

Required Skills and Experience

• Experience: 2+ years of professional experience shipping digital products (web or mobile with a portfolio showcasing case studies with a strong foundation in user-centered design principles and practices.
• Communication: You can clearly explain the rationale behind your design decisions to non-designers.
• User Interface: Experience creating wireframes, flows, mockups, and prototypes using tools such as Figma
• Craft: A high bar for visual quality; you understand how typography, color, and space affect usability.
• User-Centric: You have experience conducting basic usability testing to validate your own work.
• Design Principles: Understanding of user-centered design principles, usability heuristics, and basic accessibility standards.

Preferred Qualifications

• Design Systems: Familiarity with bespoke design systems and component-based design.
• Complexity: Experience contributing to complex products or multi-step workflows.
• AI Usage: Familiarity with new AI-assisted tools and platforms that can enhance prototyping, research synthesis, and overall product design processes.

At Sharebite, we are committed to providing competitive pay in line with industry and market standards. The base compensation range for this role is $95k - $110k per year, however actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and location. Salary is just one component of Sharebite's total compensation package, which includes equity, multiple health insurance options, and a wide range of benefits, including a daily meal stipend. 

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

Quantum applications architects drive research and development of quantum algorithms and lead partnered collaborations on the application of quantum algorithms to real-world computational problems. The applications team is fully focused on algorithms in the fault tolerant regime and is very tightly integrated with quantum architecture development. The scope of the quantum applications team includes development of new quantum algorithms and methods, scoping of use-cases, simulation and analysis of resource requirements, optimization of compiling methods and development of methods for universal fault tolerant logic.

This role is specifically focused on the compilation of quantum algorithms, both in theory and in software. The architect will translate abstract or high-level descriptions of quantum algorithms into explicit constructions, contribute to the instantiation of those constructions in code, analyze their performance using resource estimation and simulation tools, and ultimately optimize the efficiency with which we can run useful quantum algorithms on fault-tolerant hardware.

Responsibilities:

• Research and development of compilation techniques for quantum algorithms tailored for fault-tolerant quantum computers.
• Contribute to the design and development of quantum compilation and simulation tools and/or software.
• Work closely with external partners to instantiate, validate and optimize quantum algorithms for use cases across a variety of domains, such as life sciences or sustainability.
• Simulation and analysis of resource requirements for fault tolerant implementation of quantum algorithms in photonic quantum computing.
• Collaborate with quantum architecture group to co-optimize algorithm methods with architectural design.

Experience/Qualifications:

• Degree in Physics, Math or Computer Science or equivalent required. PhD in Physics, Math or Computer Science, with a focus on quantum information theory or quantum computation preferred.
• 3+ years of relevant academic or industry research experience in quantum circuit compilation, quantum algorithms or deployment of quantum computing-related software.
• Experience with quantum algorithms and compiling in the regime of fault tolerant gates preferred.
• Experience working with partners in academia or industry to analyze real-world quantum applications of interest preferred.
• Proven team player with an ability to work effectively across departments, sites and time zones.
• Ability to work independently and contribute to fast-moving start-up environment.
• Experience programming in Python, C++ or similar languages.

About Sharebite

Sharebite is the leading meal benefits platform built exclusively for companies to feed their employees. Our platform allows employees to order meals from any restaurant while streamlining all of the ordering & billing requirements for the company. Every meal ordered through the Sharebite platform results in a meal donation to local partners like City Harvest and Feeding America to help combat food insecurity. To date, Sharebite has donated over 15 million meals.

About the Role

As an AI Engineer, you will play a key role in shaping how Sharebite applies AI across both its product and internal operations. You will begin by working closely with the product and engineering teams to build a deep understanding of the codebase, core workflows, business logic, and operational complexity behind the platform. We see that foundation as essential to building AI solutions that are not only innovative but genuinely useful.

As you grow into the role, you will identify high-impact opportunities to use AI to improve efficiency, streamline manual work, and enhance the product experience for customers and internal teams. You will be responsible for designing, building, and refining AI-powered tools, automations, workflows, and product features that are practical, scalable, and well-integrated into the business. This role is ideal for someone who wants to pair full stack engineering with applied AI work and have a meaningful influence on how the function develops over time.

A note on the role: this position starts as a Full-Stack Engineer and evolves into an AI Engineer over time. If you’re looking for a pure AI/ML research role, this likely is not the best fit. If you’re someone who loves building real products and wants to apply AI engineering over time, this role is perfect for you.

What You’ll Do

• Build and ship full-stack features across the product as you ramp up on the platform
• Develop a thorough understanding of our systems, data models, and business logic
• Identify high-leverage automation opportunities as you learn how the platform works
• Design and build AI agents and automated workflows using modern AI tooling
• Integrate LLMs into product workflows in ways that are reliable and production-safe
• Evaluate, iterate, and improve AI systems based on real-world performance
• Collaborate with product and engineering to solve user-facing problems
• Help define what effective, responsible AI engineering looks like at our company

Required Skills & Experience

• 5+ years of full-stack development experience, with a proven ability to own features end-to-end
• 1–2 years of hands-on AI engineering experience building and shipping LLM-powered systems in production
• Experience with at least one major AI orchestration framework such as LangChain, LangGraph, or AWS Bedrock
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.), vector databases, RAG pipelines, and agent frameworks
• Strong software engineering fundamentals, including system design, testing, debugging, and clean code practices
• Clear communicator who can work across product and engineering teams

Who You Are

• Genuinely curious about how systems work, and not just how to layer AI on top of them
• Comfortable starting as a full-stack engineer and growing into AI engineering as you learn the product
• Thoughtful about where AI adds real value and where it doesn’t
• Someone who takes ownership and doesn’t wait to be told what to improve
• Excited by the idea of being the person who shapes how an entire company thinks about AI

What Success Looks Like

• 0–3 months: You’re shipping product features independently and have a strong mental model of how the platform works
• 3–6 months: You’ve shipped your first AI-powered workflow or agent into production
• 6–12 months: You’ve automated multiple high-impact workflows and are proactively identifying the next wave of opportunities

At Sharebite, we are committed to providing competitive pay in line with industry and market standards. The base compensation range for this role is $110-$130k per year, however actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and location. Salary is just one component of Sharebite's total compensation package, which includes equity, multiple health insurance options, and a wide range of benefits, including a daily meal stipend.

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

About this opportunity:

At Freenome we are seeking a Senior Software Engineer to grow our Platform team. This is an opportunity to join a stellar group of engineers with the mission to enable scientific innovation, cross-functional collaboration and data intelligence as we move from R&D to the commercial launch of our lifesaving multi-cancer detection blood tests. This team builds and operates the multi-tenant platform that provides a governed data lakehouse and query infrastructure, scalable batch and distributed compute, and self-service environments for development and analytics to an interdisciplinary user base across all Freenome.

The ideal candidate has experience building internal platforms, enjoys collaborating with other domain experts, and is comfortable operating in a fast-evolving technical and organizational environment.

The role reports to our engineering management team. This role will be a Remote role.

What you’ll do:

• Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics.
• Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions.
• Integrate open-source, enterprise and SaaS technologies into our evolving stack.
• Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling.
• Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases.
• Continuously improve the Research Platform to meet our Science’s evolving needs for experimentation, ML Ops, data processing and analysis.
• Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use.
• Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability.
• Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization.
• Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety.
• Support platform users to troubleshoot issues and unblock critical work.
• Model Freenome’s values and principles in your work and interactions.
  

Must haves:

• 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar.
• Proficiency with Python and experience with one or more other high-level programming languages.
• Strong knowledge of Linux fundamentals including networking and containerization.
• Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP.
• Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes.
• A pragmatic approach to reliability, observability, performance tuning, and operational excellence.
• Excellent communication and documentation skills.
• Comfort with cross-functional collaboration and navigating tradeoffs.
• BS or higher in computer science or a related technical field, or comparable experience.
  

Nice to haves:

• Columnar data processing, open lakehouse technologies and table formats.
• Supporting researchers, data scientists, AI/ML teams.
• Flyte or other modern workflow orchestrators.
• Everything as Code approach to infrastructure, policies, data.
• Operating production systems in Microsoft Azure.
• Open-Source contribution and maintenance.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

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

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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.

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

We are seeking a highly driven, process-oriented M&A Sourcing Associate to originate acquisition opportunities and build long-term relationships with agency owners. This role is critical to expanding our proprietary deal pipeline and supporting our acquisition strategy.

This is a metrics-driven, phone-heavy role ideal for someone who enjoys outreach, relationship building, and operating in a competitive environment.

Key Responsibilities

· Identify and research acquisition targets across defined geographies and verticals

· Conduct high-volume outbound outreach via phone and email

· Hold introductory calls with agency owners and executives

· Track all outreach activity in Company CRM with complete accuracy

· Manage follow-up cadence and nurture long-term opportunities

· Coordinate introductory meetings between prospects and senior leadership

· Support pipeline reporting and KPI tracking

Qualifications

· 2+ years experience in corporate development, business development, sales, private equity sourcing, investment banking, or related role

· Comfortable making outbound calls daily

· Strong verbal communication skills

· Experience using CRM systems required

· Highly organized and self-motivated

· Competitive and resilient

AI Course Builder – Business & Finance Applications

About Wall Street Prep

Founded in 2004 by investment bankers, Wall Street Prep (WSP) is a leading provider of professional skills training in financial and valuation modeling. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on skills.

We partner with top-tier investment banks, private equity and investment management firms, Fortune 500 companies, and elite undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and via our industry-leading online learning platform, all designed by experienced finance professionals.

As artificial intelligence rapidly transforms financial services, WSP is expanding its AI curriculum to help finance professionals integrate modern AI tools directly into their workflows.

Position Overview

Wall Street Prep is seeking AI Course Builders with strong practical experience using modern AI tools and automation workflows to help develop short, practical AI courses for finance professionals.

In this role, you will focus on designing hands-on AI learning content rather than delivering live instruction.

You will work with WSP’s learning team to develop high-impact modules that teach finance professionals how to apply AI tools to real business tasks, such as research, financial analysis, workflow automation, and productivity.

This includes building course content centered around leading AI assistants and enterprise AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, and Shortcut, along with Python-based workflows and API integrations.

Your work will directly shape how professionals in investment banking, private equity, asset management, consulting, and corporate finance adopt AI in their day-to-day work.

Key Responsibilities

AI Course Development

Design and build practical learning modules covering topics such as:

• Foundations of generative AI and large language models
  
  
• Prompt engineering for business workflows
  
  
• AI-assisted research and knowledge synthesis
  
  
• AI-assisted financial analysis and modeling
  
  
• Workflow automation using AI tools
  
  
• AI productivity tools for analysts and professionals

Hands-On Exercise Design

Develop real-world exercises and labs that teach professionals how to use AI tools in practice, including:

• Using ChatGPT, Claude, Gemini, and Perplexity for research, analysis, and writing
  
  
• Leveraging Microsoft Copilot, Rogo, and Shortcut to automate workflows and productivity tasks
  
  
• Building prompt workflows for financial analysis and research
  
  
• Creating simple Python-based automation scripts
  
  
• Demonstrating AI-assisted coding and data analysis

Practical Use Case Development

Create applied case studies that demonstrate AI in real-world business and finance contexts, such as:

• Investment research and summarization
  
  
• Financial data analysis and visualization
  
  
• Competitive analysis
  
  
• Document review and synthesis
  
  
• Workflow automation and productivity tools

Collaboration with the Learning Team

Work with WSP’s instructors and learning designers to:

• Translate technical AI concepts into practical business workflows
  
  
• Develop structured course modules and exercises
  
  
• Update content as AI tools rapidly evolve
  
  
• Ensure courses are practical, relevant, and accessible to finance professionals

What We Are Looking For

Experience

3+ years of experience working with AI tools, machine learning, data science, or AI-enabled workflows.

Strong practical experience using modern AI assistants and enterprise AI tools such as:

• ChatGPT
  
  
• Claude
  
  
• Gemini
  
  
• Microsoft Copilot
  
  
• Perplexity
  
  
• Rogo
  
  
• Shortcut
  

Experience applying AI tools to real-world workflows such as research, analysis, automation, coding, or productivity.

Experience building technical content such as:

• technical tutorials
  
  
• course materials
  
  
• developer documentation
  
  
• technical blog posts
  
  
• learning modules or workshops

Experience in finance, consulting, or corporate environments is a plus but not required.

Technical Skills

Practical expertise using generative AI tools including:

• ChatGPT
  
  
• Claude
  
  
• Gemini
  
  
• Perplexity

Experience with AI productivity tools and workflow assistants such as:

• Microsoft Copilot
  
  
• Rogo
  
  
• Shortcut

Python programming experience strongly preferred, including libraries such as:

• Pandas
  
  
• NumPy
  
  
• Matplotlib
  
  
• scikit-learn

Experience working with AI APIs and frameworks such as:

• OpenAI API
  
  
• Hugging Face
  
  
• LangChain
  
  
• similar AI tooling

Working Arrangement

This role is project-based or part-time, focused on building course materials for upcoming AI training programs.

The position is remote-friendly.

Content developers will collaborate closely with WSP’s learning team and instructors.

Compensation

Highly competitive project-based compensation depending on experience and scope of work.

Why Join Wall Street Prep

Help shape how AI is taught to professionals across global finance.

Build practical AI learning content used by professionals at leading financial institutions.

Collaborate with a highly experienced team of finance and training experts.

Contribute to one of the fastest-growing areas of professional education.

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.

Job Title: AHD Strategy and Operations Intern

Department: Operations
Reports to: Interim CEO
Internship Dates: Flexible to academic calendars – 10 weeks between June and August 2026.
Classification: Intern

Job Summary: The A Healthier Democracy (AHD) Strategy and Operations Intern will work directly with the Interim CEO to advance critical organizational priorities essential to our growth and sustainability. This role is designed for strategic thinkers interested in social impact, innovation, and mission-driven revenue models. The intern will support special projects focused on organizational sustainability, including building earned revenue approaches and optimizing AHD’s operating model compared to peer organizations. This is a remote position, with the expectation to travel once during the summer.

Please note: A Healthier Democracy will offer a stipend to partially compensate for this internship, but candidates are expected to secure additional funding from their institution. AHD will work with you to ensure total compensation for this position is at least $20.00/hour (consistent with recent fall internship rates).

Duties and Responsibilities: You will lead a dynamic project portfolio, supporting the CEO with high-priority initiatives instrumental to AHD’s long-term success. Core projects include:

• Organizational Sustainability: Support the development of earned revenue and revenue diversification approaches for our flagship programs, Link Health and Vot-ER.
• Operating Model Evaluation: Analyze AHD’s current operating model against peer organizations and best practices, recommending improvements to streamline operations and enhance scalability.
• Program Optimization: Identify areas for improvement within current programming, leveraging technology and behavioral science to increase efficacy for patients and healthcare providers.
• Special CEO Projects: Provide ad-hoc strategic and project management support for emerging organizational priorities.

Required Skills and Abilities: 

• Excellent communication, research, and organizational skills.
• Ability to work independently and collaboratively in a fast-paced, sometimes ambiguous startup environment.
• Creative thinking and complex problem-solving skills.
• Acute attention to detail and the ability to manage multiple high-priority projects simultaneously.
• Strong analytical skills, with a preference for experience in financial modeling or data-driven decision-making.
• A demonstrated commitment to racial equity, inclusion, and the mission of expanding economic and civic opportunity.

Education and Experience: 

• Currently pursuing an MBA, MPP, or related graduate degree.
• Prior experience in management consulting, healthcare, or business development is preferred but not required.

Physical Requirements:

• Prolonged periods of sitting or standing at a desk and working at a computer.
• Ability to travel once during the summer for organizational meetings or site visits.

The Mission

We are a Delaware-incorporated, remote-first serial acquirer of SaaS companies across North America and Europe. With a portfolio spanning 6+ jurisdictions, a $100M debt facility, and a 400-person global team, our complexity is high, but our team is lean.

We are looking for our first General Counsel & Head of Legal Ops. We don't want to build a massive legal department; we want to build a massive legal advantage. You will be the architect of an AI-augmented legal and tax function that enables us to acquire 5+ companies per year with unprecedented speed and structural efficiency.

The "AI-First" Mandate

In this role, your "Junior Associate" and "Tax Senior" are Large Language Models (LLMs). You will:

• Scale through Automation: Implement AI-driven due diligence to audit hundreds of SaaS contracts in hours.
• AI-Augmented Tax Structuring: Use advanced AI agents to perform "first-pass" research on cross-border tax treaties (US/EU), transfer pricing logic, and permanent establishment risks.
• Self-Serve Governance: Deploy internal AI tools to handle 80% of routine queries from our global team regarding SARs, HR compliance, and NDAs.
• Outside Counsel Optimization: Act as a "sophisticated buyer" of legal and tax services—using AI to verify work and ensuring we only pay for high-level "human-in-the-loop" sign-offs.

Key Responsibilities

• M&A Execution: Lead the legal lifecycle of ~5 acquisitions/year. Own the SPA, manage local counsel in Europe/NA, and drive deals to close.
• Strategic Tax Structuring: Work at the intersection of legal and finance. Use AI to model tax-efficient deal structures (Asset vs. Share) and maintain our global transfer pricing framework between Delaware and our European subsidiaries.
• Debt & Capital: Manage our $100M debt facility—handling drawdowns, ensuring covenant compliance, and managing lender relations.
• Global People Ops: Oversee compliance for a 400-person workforce (FTEs, Contractors, EOR) across Germany, Austria, France, Finland, Canada, and the US.
• Equity (SARs): Manage and scale our Stock Appreciation Rights program globally.

Who You Are

• The M&A Quarterback: You have 6–10 years of experience (JD/LLM required), likely coming from a top-tier Private Equity or M&A practice.
• AI-Native: You don't just "use" AI; you prompt-engineer your workflow. You are comfortable building a "no-code" legal stack.
• The "Tax-Literate" Generalist: You aren't a CPA, but you understand the "geometry" of international tax. You can use AI to navigate a tax treaty and know exactly when to pull in a specialist for a final "stress test."
• Operational Mindset: You value deal velocity over long memos. You quantify risk in dollars, not just "could/might" language.

The Tech Stack You’ll Build

We expect you to own the budget for and implement:

1. AI Due Diligence: For contract analysis and liability mapping.
2. Entity Management: For our 6+ global subsidiaries.
3. CLM (Contract Lifecycle Management): To automate SaaS sales and vendor agreements.
4. Tax AI Research: To stay ahead of OECD/Pillar Two and local European tax changes.

Why Join Us?

• Blueprint Power: You are the first hire. You define the tech stack and the strategy.
• No Billable Hours: Success is measured by the efficiency of the "Acquisition Engine."
• High Leverage: Manage a $100M facility and a global portfolio with the best tools available.
• Incentives: Significant participation in our SAR program.

What’s in it for You

• Ultimate flexibility: We’re 100% remote. You can work from wherever you like, whenever you like.
• Freedom and autonomy: We’re a high-trust team, and you’ll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it.
• Minimum bureaucracy: We don’t like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable.
• Small & friendly team: We help each other out, have fun, and joke around.
• Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning  and expertise with each other internally. 
• Flexible time off: We want you to recharge your batteries when needed.

We don’t just simply offer you to “take a job with us” but rather to “join us on this journey” to build the world's largest platform of independent SaaS companies.