The successful candidate will be directly involved in a critical path for high-volume trading with a core focus on technical and economic performance. They will work closely with quantitative research to optimize the firm's overall execution performance.

Key responsibilities include:

• Building out the C++ low-latency framework for algorithmic trading
• Developing execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces
• Enhancing the platform's efficiency using network and systems programming
• Creating systems, interfaces, and tools for historical market data and trading simulations
• Assisting in building and maintaining automated tests, performance benchmark framework, and other tools

The ideal candidate will have 5+ years of professional experience in a front-office, financial services environment as a senior contributor, with a strong background in data structures, algorithms, and object-oriented programming in C++. They should be proficient with new features of C++17/C++20/C++23, multithreading, and asynchronous environments. A degree in computer science or a related field is required.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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The goal of the team is to build a unified set of risk data for decision-makers at the firm level to make informed decisions about the firm's complex set of positions. The team will be coordinating with multiple different asset-class risk teams to build the firm's high-level view, including building out individual asset-class risk analytics in cases where it is deemed necessary.

This role involves research into using many different statistical and probabilistic techniques to evolve the firm's understanding of risk. Key to the role will be understanding the ways in which different market structures impact their individual asset classes, the behavior of large market participants, shared traits of popular trading strategies, and developing probabilistic methodologies to anticipate potential stress scenarios.

Responsibilities:

• Build and validate cross-asset risk measures.
• Identify market factors across asset classes and identify common risk premia trades.
• Apply feature discovery and classification-style ML to identify and interpret portfolio/trade drivers with careful validation and robustness testing.
• Partner closely with asset class risk teams to test assumptions, interpret results, and drive adoption of the analytics.
• Develop forward-looking scenario models, identifying risks in the firm shared across asset classes.

Requirements:

• 1–5 years of hands-on experience in quantitative research, modeling, or applied ML
• Strong foundation in applied mathematics / statistics / machine learning (especially probability theory, linear algebra, calculus, and statistics)
• Demonstrated ability to design, implement, and validate models from scratch (not just apply off-the-shelf packages)
• Python proficiency for research prototyping and analysis
• Experience with deep learning frameworks (For example, PyTorch/TensorFlow)
• Strong research habits: hypothesis formation, experimentation, back testing/validation, and clear communication
• Financial markets experience is helpful but not required

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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As a Senior HFT Developer on SPEED, you will design and build core low-latency components for order entry, market data, exchange simulation, feature extraction, and strategy containers, initially focused on delivering the full set of capabilities required for trading and research infrastructure. You will collaborate closely with system architects and quantitative researchers, operate and optimise these systems in production, and have clear opportunities to grow into technical and team leadership as the effort scales.

Principal Responsibilities:

• Build low-latency infrastructure for order entry, market data, exchange simulators, feature extraction, strategy container, and other systems.
• Build convenience layer tools and services to facilitate trading teams onboarding at MLP.
• Provide level 2 support for the systems in production.
• Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
• Opportunities for growth in terms of leadership as effort expands.
• Will liaise with many other MLP teams depending on project focus.

Qualifications/Skills Required:

• 5+ years with a well-regarded HFT group, delivering production-grade, low-latency systems.
• Demonstrated expertise in C++ and Python for production, low-latency systems.
• Deep familiarity with low-level Systems: OS tuning, networking stack, user-space drivers, and kernel-bypass patterns.
• Strong understanding of the HFT quantitative research pipeline.
• Experience with HPC grids (scheduling, storage, job management) for research and production workloads.
• Cloud experience (AWS, GCP) is a plus.
• Proven ability to navigate large organisations, create cross-team synergies, and influence outcomes.
• High accountability and ownership; able to self-manage time, set priorities, and meet deadlines.
• Potential to provide technical leadership and manage a small team.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. We pay a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The successful candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
• Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows
• Build transaction cost analysis and pre-trade cost models for fixed income instruments;
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
• Experience as a hands-on development lead, with a track record of taking projects from inception to production

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This role sits at the intersection of portfolio management, brand strategy, and executive communications. You'll own internal communications for your portfolio of teams, serving as their embedded communications expert while maintaining tight partnerships with their leadership.

Responsibilities:

• Own the internal communications strategy for Policy, becoming an expert in their work and a trusted member of their leadership team
• Partner closely with function leaders and executives to understand priorities, help them communicate change, and ensure their teams feel connected to the broader mission
• Cultivate and manage channels for disseminating timely information from teams
• Design and implement strategies to boost signal and reduce noise so employees know what's important and what it means for them
• Use qualitative and quantitative research to propose creative strategies and tactics that align with company goals and will resonate with our employee audience
• Weave our brand across different internal touchpoints, working across teams to uplift stories that connect our daily work to our mission and identify cultural moments that reinforce our values
• Exhibit operational excellence to help plan and execute internal fora like all-hands
• Partner closely with the broader internal communications team to ensure updates are being accurately and consistently cascaded via all our existing channels and live forums.

You may be a good fit if you:

• Have worked in journalism, political campaigns, external communications, or government affairs,somewhere you learned to make complex, high-stakes material clear under pressure
• Are an exceptional writer with a particular talent for distilling complex decisions and cross-functional projects into simple, compelling narratives
• Have 10+ years of proven experience executing and leading in fast-changing, complex, and international organisations
• Thrive on deep partnership with leadership teams and can truly embed yourself in business functions
• Have a keen eye for organisational culture and can recognise authentic moments worth amplifying while helping teams navigate cultural evolution
• Are comfortable navigating organisational dynamics and can build strong working relationships with executives

The annual compensation range for this role is $255,000-$320,000 USD.

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Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator , someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.

As a Principal Data Scientist, you will:

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors , ensuring data science insights directly inform the company's most critical decisions.
• Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.
• Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.
• Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning , the kind of synthesized, judgment-rich insight that AI cannot autonomously create.
• Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.
• Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.
• Define and evolve company-wide scientific methodologies , experimentation frameworks, forecasting systems, causal inference approaches , to match and push industry state-of-the-art.

To be successful in this role, you will need:

• 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
• Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.
• Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.
• Exceptional written and verbal communication , the ability to make complex statistical concepts intuitive and compelling for non-technical executives.
• Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.
• Experience at the intersection of statistics and large-scale technology or data platforms.
• Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.

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Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $415K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.

In this role you will:

• Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics

• Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering

• Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans

• Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them

• Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts

• Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)

• Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)

• Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time

• Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction

You might be a great fit if you…

• Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation

• Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design

• Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs

• Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products

• Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning

• Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)

• Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment

• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• San Francisco $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible.

Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent.

About the Role

You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.

You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.

In this role, you will:

• Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.

• Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.

• Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.

• Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.

• Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.

You might thrive in this role if you:

• Significant experience recruiting within highly technical or specialized environments.

• Deep interest in AI research and a desire to engage directly with global research communities.

• Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.

• Track record of leading complex, ambiguous technical searches from early talent mapping through close.

• Experience navigating high-stakes negotiations with senior technical or research candidates.

• Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.

Workplace & Location

This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $266K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The UX Research team is a small team with outsized impact across OpenAI. We sit at the intersection of users, product, and safety—helping ensure that powerful AI systems are built responsibly and grounded in real human needs.

Our work informs critical product decisions across OpenAI. We partner closely with product, design, engineering, and leadership to bring clarity to complex questions—often in fast-moving spaces where norms and best practices are still being defined.

This role is based in San Francisco, CA. We operate on a hybrid model with 3 days in the office each week and offer relocation assistance.

In this role, you will:

• Design and execute quantitative research across the product lifecycle, from foundational understanding to concept validation, prototyping, and usability evaluation.

• Partner with product managers, designers, engineers, and data scientists to identify high-impact opportunities where quantitative insights can meaningfully shape product decisions.

• Lead rigorous, customized studies that answer both strategic and tactical questions, using methods such as surveys, experiments, and behavioral data analysis.

• Translate complex data into clear, actionable recommendations that drive alignment and decision-making across teams.

• Apply strong survey methodology and statistical rigor to ensure findings are valid, reliable, and decision-ready.

• Influence product direction through close cross-functional collaboration and clear, audience-appropriate storytelling.

You might thrive in this role if you have:

• 5+ years of experience working in user experience research, market research, data science, and/or a related field with a strong focus on quantitative methods.

• Expertise in quantitative research, with proficiency in statistical analysis, experimental design, survey methodology, and behavioral data analysis.

• Strong data analysis skills using tools such as SQL and Python.

• Exceptional written and verbal communication skills, with the ability to influence decision-making at all levels.

• Proven experience leading quantitative research projects that have made a lasting impact on product and design decisions.

• Experience working with senior stakeholders.

• A drive for excellence and the ability to consistently raise the bar.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft are looking for a talented Principal UX Research Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the technology market.

About the Role

As a Principal UX Research Manager, you will lead a team of UX Researchers creating clarity, generating energy and delivering results. You will understand the behaviors, motivations, needs, and aspirations of our customers to create a differentiated advantage in our ability to build relevant and impactful experiences for people across the world. You will drive product strategy through rigorous programs of multi-stage research executed to the highest standards. You will balance rigor with scrappiness and the ability to push with a fast-moving team. You will drive cross-team collaborations among all disciplines from early product stages to final implementations. You will guide teams in creative new directions and help set ambitious goals that stand out from the crowd. You will identify new opportunities and generate innovative ideas to improve our processes, culture, and influence our approach to research (e.g. mindsets, methodologies). You will lead research on highly visible products or set of business initiatives with notable risk and complexity. You will regularly influence at the highest levels of organizations. You will elevate the research craft of the team. You will elevate and accelerate the team’s adoption of the thoughtful application of AI to our workflows, including coding by team members. You will create an environment where people can do their best work and grow. You will embody our culture and values.

Accountabilities

• Lead a team of UX Researchers creating clarity, generating energy and delivering results
• Understand the behaviors, motivations, needs, and aspirations of our customers to create a differentiated advantage in our ability to build relevant and impactful experiences for people across the world

The Candidate we're looking for

Experience:

• Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 5+ years user experience research experience and/or product development experience or related experience in research

Technical skills:

• High level research skills across methods, qualitative and quantitative (i.e. a Mixed Methods researcher)
• Excellent communication and presentation / storytelling skills, with the ability to energize and activate teams

Personal attributes:

• Demonstrated championing of fundamentals of user experience, including accessibility and inclusive design
• Experience with commonly used research tools, specifically AI-powered research tools

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft are looking for a talented Principal UX Research Manager at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the development of holistic customer experiences.

About the Role

As a Principal UX Research Manager, you will lead a team of UX Researchers creating clarity, generating energy and delivering results. You will understand the behaviors, motivations, needs, and aspirations of our customers to create a differentiated advantage in our ability to build relevant and impactful experiences for people across the world. You will drive product strategy through rigorous programs of multi-stage research executed to the highest standards. You will balance rigor with scrappiness and the ability to push with a fast-moving team. You will drive cross-team collaborations among all disciplines from early product stages to final implementations. You will guide teams in creative new directions and help set ambitious goals that stand out from the crowd. You will identify new opportunities and generate innovative ideas to improve our processes, culture, and influence our approach to research (e.g. mindsets, methodologies). You will lead research on highly visible products or set of business initiatives with notable risk and complexity. You will regularly influence at the highest levels of organizations. You will elevate the research craft of the team. You will elevate and accelerate the team’s adoption of the thoughtful application of AI to our workflows, including coding by team members. You will create an environment where people can do their best work and grow. You will embody our culture and values.

Accountabilities

• Lead a team of UX Researchers creating clarity, generating energy and delivering results
• Understand the behaviors, motivations, needs, and aspirations of our customers to create a differentiated advantage in our ability to build relevant and impactful experiences for people across the world
• Drive product strategy through rigorous programs of multi-stage research executed to the highest standards
• Balance rigor with scrappiness and the ability to push with a fast-moving team
• Drive cross-team collaborations among all disciplines from early product stages to final implementations
• Guide teams in creative new directions and help set ambitious goals that stand out from the crowd
• Identify new opportunities and generate innovative ideas to improve our processes, culture, and influence our approach to research (e.g. mindsets, methodologies)
• Lead research on highly visible products or set of business initiatives with notable risk and complexity
• Regularly influence at the highest levels of organizations
• Elevate the research craft of the team
• Elevate and accelerate the team’s adoption of the thoughtful application of AI to our workflows, including coding by team members
• Create an environment where people can do their best work and grow
• Embody our culture and values

The Candidate we're looking for

Experience:

• Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 5+ years user experience research experience and/or product development experience or related experience in research

Technical skills:

• High level research skills across methods, qualitative and quantitative (i.e. a Mixed Methods researcher)
• Excellent communication and presentation / storytelling skills, with the ability to energize and activate teams

Personal attributes:

• Demonstrated championing of fundamentals of user experience, including accessibility and inclusive design
• Experience with commonly used research tools, specifically AI-powered research tools

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

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What you'll do

• Define and Execute the PX Research Vision
• Lead and Develop an Industry Leading Team
• Activate Insights Across the Ecosystem
• Influence Strategy at Scale
• Advance Research Craft and Methodology
• Operational Excellence and Measurable Impact

What you need

• 12+ years of experience in player or user research, consumer insights, or related fields, including 5+ years leading multi-disciplinary research teams.
• Proven track record developing and executing a research strategy that influences both creative and business outcomes.
• Experience collaborating with analytics, data science, and market research teams to synthesize insights and drive strategic decision-making.

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