Lead Researcher

Atlassian-posted 10 days ago

Full-time • Mid Level

Hybrid • San Francisco, CA

5,001-10,000 employees

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Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Shape research programs: Define and guide complex, multi-team research efforts, aligning with strategic objectives and setting a vision that informs long-term product and platform direction.
Translate insights into measurable outcomes: Ensure research not only shapes product vision but is tied to relevant metrics such as adoption, retention, customer satisfaction or time-saved.
Influence at scale: Partner with senior leaders across product, design, engineering, and business areas to ensure research insights drive decisions at the strategic level.
Opportunity Mapping: Identify whitespace and emergent opportunities where research can de-risk bets or open new market.
Pioneer new approaches: Introduce innovative methods, frameworks, and tools that elevate research quality and broaden impact.
Scale research influence: Deliver insights and methods that benefit not just immediate teams but larger departments and business areas, amplifying impact across Atlassian.
Advance talent development: Mentor and coach researchers across all levels, supporting career growth and shaping the next generation of research leaders.
Communicate for impact: Craft compelling narratives and visualizations that resonate across a variety of audiences, including executives.
Solve complex problems: Apply a holistic, systems-thinking approach to anticipate shifts in business, technology, and human needs.
Evolve craft and operations: Guide the development of research practices, metrics, and operations; contribute to hiring, onboarding, and the strengthening of the research community.
Model values and leadership: Foster an inclusive and collaborative culture; represent research in cross-functional and industry-wide forums.
Accelerate AI innovation: Lead research into AI-powered experiences, identifying opportunities, risks, and drivers of adoption to keep Atlassian at the forefront of innovation.

Experience: 8+ years of research experience in complex or enterprise software environments, including leading strategy and programs that span multiple teams or departments. Proven ability to deliver outcomes that scale beyond direct team.
Education: [choose one of]: [mixed methods] Advanced degree (Master’s/PhD) in a relevant qualitative or quantitative research field such as HCI, Psychology, Social Sciences, Human Factors, or Statistics preferred; proven ability to integrate across methods. [qualitative] Advanced degree (Master’s/PhD) in a relevant qualitative research field such as Anthropology, Sociology, Psychology, HCI, Human Factors preferred, with demonstrated application to enterprise/complex environments. [quantitative] Advanced degree (Master’s/PhD) in a quantitative discipline such as Statistics, Market Research, Data Science, Econometrics, Quantitative Psychology preferred, with proven expertise applying statistical and data science methods in business contexts.
Methods & Tools: [choose one of]: [mixed methods] Mastery of mixed methods research, with a track record of pioneering innovative approaches and frameworks through large‑scale generative + evaluative programs, longitudinal/ecosystem studies, predictive modeling, triangulation of qual/quant/telemetry data. [qualitative] Mastery of qualitative methods such as ethnography, experience sampling, strategic facilitation using tools such as Dovetail, Figjam, Dscout. [quantitative] Mastery of predictive modeling, multivariate/ longitudinal analysis, survey integration using tools such as Qualtrics, SQL, Tableau, R/ Python and experimentation platforms.
AI Research: Deep experience with AI‑powered products or features, including adoption barriers and opportunities for acceleration.
Communication: Exceptional at synthesizing and presenting complex findings in compelling, executive‑ready formats.
Collaboration & Influence: Demonstrated ability to build consensus across senior leadership, align diverse teams, and ensure research impact at scale.
Leadership & Mentorship: Proven record of mentoring and growing researchers across levels; fostering a culture of continuous learning and improvement.
Attributes: Thrives in ambiguity, models continuous improvement, and demonstrates strong curiosity for how AI is reshaping user experience and business strategy.

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