Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.

What you’ll do

Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

Responsibilities

• Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges 
• Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations
• Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls.
• Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence
• Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions
• Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement) 
• B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems
• Fluency in U.S. GAAP
• Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic
• Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance
• Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA
• Solution and results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences
• Experience with internal controls (design, implementation and execution)

Preferred qualifications

• Familiarity with the payments industry and fintech landscape

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

RDQ226R497

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we’re accelerating our AI strategy to redefine what’s possible in customer intelligence, activation, and enterprise-scale personalization. This role will own and articulate the AI product vision that differentiates our platform, spanning predictive modeling, LLMs, intelligent automation, and advanced personalization, and guide how these capabilities transform core customer workflows across industries. As the senior leader for Amperity’s AI portfolio, you will set the company’s AI principles and operating mechanisms, partner deeply with Engineering, GTM, and our customers, and represent Amperity’s AI strategy both internally and in the broader market. This role reports to the Chief Product Officer and will play a critical role in shaping the future of Amperity’s AI-driven platform.

Interesting Problems

• Define the multi-year AI product strategy that differentiates Amperity’s platform, drawing from customer insight, market trends, and emerging AI research
• Establish and champion Amperity’s AI principles, responsible AI criteria, and product philosophy across the company
• Drive long-range planning, portfolio prioritization, and investment decisions across all AI and ML product surfaces
• Own the product lifecycle for AI-powered capabilities, from ideation through delivery, scale, and continuous improvement.
• Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and activation.
• Translate complex ML capabilities into accessible, intuitive user experiences that drive adoption across technical and non-technical users.
• Ensure all AI features balance performance, explainability, safety, and reliability.
• Contribute to Amperity’s external thought leadership through publications, talks, and collaboration with academic or industry research partners.
• Partner closely with Engineering and GTM to deliver world-class AI products at scale.
• Influence executive stakeholders—Engineering, Product, Sales, CX—on AI tradeoffs, opportunities, and required investments.
• Build alignment with customers, prospects, and partners, representing Amperity’s vision for AI in the market.
• Shape operating mechanisms that ensure your organization delivers efficiently and consistently.
• Represent Amperity’s AI strategy externally through talks, publications, strategic customer conversations, and analyst engagements.
• Identify and nurture relationships with research, enterprise, and ecosystem partners to expand Amperity's AI capabilities.

About You

• 12+ years of experience in product management, AI/ML platforms, data platforms, or enterprise SaaS—with deep experience leading AI-centric product lines.
• Proven track record driving product strategy for large, data-intensive, or AI-driven products with enterprise customers.
• Strong technical fluency with ML concepts—able to partner deeply with engineering teams on topics such as:
• entity resolution & probabilistic modeling
• LLMs and RAG systems
• predictive modeling and personalization
• data governance, model evaluation, and responsible AI
• Demonstrated ability to define and achieve measurable business outcomes, with experience in revenue-linked KPIs.
• Significant experience operating cross-functionally in complex organizations and influencing executive stakeholders.
• Experience working in MarTech, AdTech, or customer data platforms.
• Prior experience scaling AI features within cloud or data-intensive environments (AWS, Databricks, Snowflake, GCP, Azure).
• Advanced degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

Location

Seattle, WA 

Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility

Compensation

Base Salary:  $200,000-$280,000. Within our pay range, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training. 

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Our Mission: 

To actively connect people to their next great opportunity. 

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need generalist software engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result.

Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives.

Responsibilities:

• Build data processing and exploration pipelines along with ML infrastructure to power our intelligence
• Deploy a range of cloud-based technologies for critical projects
• Write, test, instrument, and deploy code to our Kubernetes environment
• Help drive the innovation and evolution of ZipRecruiter

Minimum Qualifications:

• 5+ years of professional software development experience with a focus on big data technologies
• Experience with Hadoop, Spark, Hive, and/or other big data technologies
• Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
• Experience with containerization technologies like Docker and/or Kubernetes

Preferred Qualifications:

• 8+ years of professional software development experience, with a focus on big data technologies
• BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
• Experience with data integration tools like Apache Kafka, Flume, and NiFi
• Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
• Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks

As part of our team you’ll enjoy:

• Competitive compensation
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan 

The US base salary range for this full-time position is $140,000-$200,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

#LI-Remote

#LI-DA1

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Seattle

P-1495

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Role Overview:

As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.

Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.

Responsibilities:

• Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
• Design and deliver tailored demos and time-boxed POVs with clear success criteria
• Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
• Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
• Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
• Guide customers from closed-won to first production workloads
• Provide architectural guidance and support customers through early adoption
• Monitor usage patterns and surface expansion opportunities in partnership with Sales
• Participate in status reviews and QBRs for assigned accounts
• Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
• Document best practices and contribute to internal enablement

What We’re Looking For : 

• 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
• Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
• Proficiency with SQL and the ability to reason about query behavior and performance
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
• Strong communication skills and comfort presenting to both technical and non-technical audiences
• A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
• Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
• Background in data infrastructure, developer tools, or technical consulting is a plus
• Scripting experience in Python, Go, or similar languages is a plus

Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

As our Marketing Operations Manager, you’ll own the strategy and execution of our marketing infrastructure. You’ll lead the charge in evolving our marketing stack—blending traditional automation with AI to build a scalable foundation—ensuring that every system and workflow is built to support our growth as we scale.

The role will own KPI reporting and full funnel conversion metrics and will report to the Sr Director, GTM Operations. 

Interesting Problems

AI-Driven Campaign Execution & Infrastructure

• Tactical Execution: Architect and own the end-to-end campaign engine, leveraging best-in-class tools to drive high-velocity execution, rigorous A/B testing, and top-of-funnel growth
• Autonomous Workflows: Design and deploy AI-driven agents to automate the "operational tax"—orchestrating seamless audience segmentation, intelligent list management, and real-time data synchronization.
• Dynamic Personalization: Spearhead the use of GenAI to bridge the gap between data and delivery, creating a highly personalized customer journey that drives measurable top-of-funnel health.

Intelligence & Attribution

• Reporting: Build the infrastructure for tracking pipeline influence and opportunity attribution, turning raw data into actionable insights for GTM leadership.
• Lead Lifecycle: Design a scalable lead lifecycle management system that utilizes AI to monitor conversion health and predict funnel performance in real-time.
• Advanced Scoring: Establish a best-in-class scoring engine that bridges the gap between marketing engagement and sales readiness, ensuring the team is always focused on the most promising prospects.

Strategic Operations & Alignment

• Lead Handoff: Own the end-to-end strategy and process for lead orchestration—leveraging tools like LeanData and AI-driven 'Form Concierges' to ensure instant, context-aware handoffs and high-velocity alignment between marketing and sales.
• Cross-Functional Partnership: Orchestrate the AI and automation roadmap in lockstep with Sales and Marketing leadership to ensure our tech stack directly accelerates core business objectives.
• Data Governance: Implement a robust data governance framework that secures privacy compliance and enforces the high-fidelity data standards necessary for sophisticated AI modeling.
• Operational Excellence: Institutionalize governance standards for marketing automation and AI, ensuring the "marketing factory" operates with high precision and meets rigorous internal SLAs.

About You

• 8+ yrs of Marketing, Operations, or Campaign Management in high growth environments
• 2+ years admin experience with Marketo & Salesforce
• Advanced technical stack proficiency across attribution (Marketo, Bizible), ABM (Common Room), routing (LeanData), enrichment (Cognism), database architecture (Databricks, Snowflake) and ETL processes 
• Deep understanding of the Marketo-SFDC sync, including field mapping, sync errors, and how scoring/lifecycle field values flow into Salesforce
• Data-driven strategist with a proven track record of translating complex campaign performance into actionable insights
• Working knowledge of HTML and experience building emails
• Detail-oriented by nature, finding as much satisfaction in high-level process design as you do in the tactical 'final mile' of QA, proofreading, and delivering actionable feedback
• Demonstrated curiosity and commitment to continuous learning, staying current with emergent technologies (e.g., AI) and proactive exploration of how new capabilities can be applied to improve marketing operations.
• B2B SaaS marketing preferred

Location

We have a hybrid work model for employees based in Seattle, WA, and New York, NY, with three days in the office days each week, providing a mix of in-person collaboration and remote flexibility

We will also consider fully remote in CA, CO, FL, GA, IL, MA, MN, NJ, OH, OR, and TX

Compensation

• US: NYC, SF Bay Area, Seattle, the range is $137,000 – $188,000.
• US: All other fully remote locations, the range is $120,000 – $170,000.

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Solutions Analyst

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required for two weeks during the year for Truveta Planning Week.

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Need 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

This Opportunity 

This Solutions Analyst position is a high impact, challenging role that requires a diverse set of skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data. You will be solving consequential problems in healthcare using an EHR database of 120 million patients (and growing!) and make an impact on patient care. This position will report to our Director of Research Success on the Partner team and support strategic engagements with its Life Sciences partners.

Responsibilities

• Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.   
• Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications. 
• Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform.  
• Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis.  
• Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.  
• Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
• Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities.  
• Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.  
• Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.  

Required Skills

• Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.  
• Experience is working with large database consisting of millions of patients' data. 
• 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQ, R and Python. 
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. 
• 2+ year’s experience working with customers to deliver high quality research analyses.  
• Ability to learn and adapt quickly in a dynamic start-up environment.  

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.   

• Regex query writing experience 
• Statistics  
• Regression  
• Propensity Score Matching 
• Kaplan-Meier Analyses  
• Survival Analyses   
• Spark/PySpark experience 

Why Truveta?   

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.  

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person)
• The base pay for this position is $94,000 to $145,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Dedicated Support Research Analyst

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country.  Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required at least once per year for an onsite meeting. 

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Need 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

This Opportunity 

This Dedicated Support Research Analyst position is a high impact, challenging role that requires a diverse set of skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data. You will be solving consequential problems in healthcare using an EHR database of 125 million patients (and growing!) and make an impact on patient care.

As a Dedicated Support Research Analyst, you will work in a strategic partnership with some of our largest life science customers! The dedicated support analyst is either 100% dedicated to a single account, or 50% dedicated to two accounts, giving you the time and space to really dive deep into some of the most challenging research questions regarding human health.  

Responsibilities

• Meet with customers to understand needs for technical analyses and for technical enablement. This includes setting up weekly meetings to meet with end users and account leaders to assess how they can get the most value out of their Truveta EHR data subscription.  You will scope out solutions and analyses based on these needs and work with the director to set timelines and manage expectations of the client.  
• Work with manager and success team members to develop and pursue an overall strategy for your dedicated support accounts. 
• Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.    
• Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications.  
• Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform.   
• Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis.   
• Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.  
• Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request.
• Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities.   
• Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.   
• Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.   

Required Skills

• Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.  
• Experience is working with large database consisting of millions of patients' data. 
• 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQL, R and Python. 
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. 
• 2+ year’s experience working with customers to deliver high quality research analyses.  
• Ability to learn and adapt quickly in a dynamic start-up environment.  

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.   

• Statistics  
• Regression   
• Propensity Score Matching  
• Survival Analyses & Kaplan-Meier curves  
• Spark/PySpark experience
• Consulting experience  

Why Truveta?   

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.  

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person)
• The base pay for this position is $94,000 to $145,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Your Impact

Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.

We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.

The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition.

This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.

What You’ll Do

Location: This role is based out of one of our US-based offices Seattle and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science

• Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
• Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor
• Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
• Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
• Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth
• Use AI tools as a core part of your development workflow, not a novelty

What You Bring

Must-haves:

• You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
• You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
• You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
• You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
• You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:

• Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three
• Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
• Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
• Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
• Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

P-1545

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic 7 figure deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect and generate pipeline in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value.

• 1+ years of closing experience, carrying a direct revenue quota.
• Prior experience in big data, Cloud, or SaaS sales.
• Be able to quickly learn new technologies and value proposition.
• Experience exceeding sales KPIs and quotas.
• Success closing new accounts while working existing accounts.
• Proficiency in MEDDPICC.
• A proven history of exceeding annual revenue targets.
• Consistent top performer with a history of internal promotion.

Who we are:

Reports to: Esha Joshi, Cofounder and Chief Customer Officer

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it’s a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We’re building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don’t learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It’s learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We’ve $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

• TED Talk with our “Why”
• Explainer on experiential learning

What you’ll do:

As a Strategic Customer Success Manager, you will ensure seamless customer experiences across all stages of the customer journey. You’ll bring strong customer relationships, maximize satisfaction, and drive growth by managing enterprise client accounts. Your work will focus on increasing customer satisfaction, NPS, retention/product adoption, and business expansion while collaborating closely with sales, product, and leadership teams.

If you are based in Seattle, this role will hybrid. The local team comes into the office 3 days a week. For non-Seattle based candidates, this will be a remote hire.

About you:

• 5+ years of experience as an enterprise customer success manager
• Proven track record of managing enterprise accounts, driving adoption, and achieving customer success metrics
• Experience shaping and executing customer experience strategies for enterprise lifecycle stages
• Skilled at working cross-functionally with sales, leadership, and product teams to deliver customer value
• Exceptional verbal and written communication skills with a talent for clear and persuasive articulation of ideas
• Strong proficiency in customer engagement platforms and CRM tools
• Humility, creativity, and team-first-attitude, with a love for learning

Extra credit experience:

• Deep understanding of the SaaS ecosystem and strategies to guide customers through the adoption curve
• Proficient in using advanced analytics tools to monitor customer usage patterns and predict future behaviors
• Ability to develop and implement automation strategies that enhance customer lifecycle management from onboarding to renewal, reducing manual processes and improving operational efficiency

Compensation

• Total compensation is targeted at $150,000 - $180,000 (depending on experience), including variable pay based on quarterly goals
• Equity opportunities at a fast growing company
• Health, dental, vision insurance
• 401k plans
• Unlimited PTO, free lunches at the office

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up
• Competitive compensation: Includes a combination of cash base and commission compensation
• Work on a daily basis with the founding team and mentors
• Join a fun, inclusive and highly motivated team culture (and help define it!)

Who we are:

Reports to: Esha Joshi, Cofounder and Chief Customer Officer

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it’s a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We’re building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don’t learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It’s learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We’ve $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

• TED Talk with our “Why”
• Explainer on experiential learning

What you’ll do:

As a Growth Customer Success Manager, you will ensure seamless customer experiences across all stages of the customer journey. You’ll bring strong customer relationships, maximize satisfaction, and drive growth by managing enterprise client accounts. Your work will focus on increasing customer satisfaction, NPS, retention/product adoption, and business expansion while collaborating closely with sales, product, and leadership teams.

We are targeting a East Coast based Remote hire.

About you:

• 3+ years of experience as an enterprise customer success manager
• Proven track record of managing enterprise accounts, driving adoption, and achieving customer success metrics
• Experience shaping and executing customer experience strategies for enterprise lifecycle stages
• Skilled at working cross-functionally with sales, leadership, and product teams to deliver customer value
• Exceptional verbal and written communication skills with a talent for clear and persuasive articulation of ideas
• Strong proficiency in customer engagement platforms and CRM tools
• Humility, creativity, and team-first-attitude, with a love for learning

Extra credit experience:

• Deep understanding of the SaaS ecosystem and strategies to guide customers through the adoption curve
• Proficient in using advanced analytics tools to monitor customer usage patterns and predict future behaviors
• Ability to develop and implement automation strategies that enhance customer lifecycle management from onboarding to renewal, reducing manual processes and improving operational efficiency

Compensation

• Total compensation is targeted at $125,000 - $150,000 (depending on experience), including variable pay based on quarterly goals
• Equity opportunities at a fast growing company
• Health, dental, vision insurance
• 401k plans
• Unlimited PTO, free lunches at the office

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up
• Competitive compensation: Includes a combination of cash base and commission compensation
• Work on a daily basis with the founding team and mentors
• Join a fun, inclusive and highly motivated team culture (and help define it!)

Who We Are

Yoodli is the AI roleplay simulator redefining how individuals and teams ace communication. We're building a new category: AI Roleplays, an experiential learning platform that helps people improve through lifelike simulations powered by generative AI.
Think of it as the batting cage before the big game, but for communication. Whether it's a sales pitch, manager feedback session, or media interview, Yoodli provides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and BDO use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.
Backed by $20M+ from Madrona, AI2, Cercano, and more, we're based in Seattle at AI House, building the future of human-AI interaction. You can try our consumer product live (and for free) at yoodli.ai.

• Watch our TED Talk

• Read our latest blog

The Role

We're hiring a Business Development Representative to build the top of our pipeline. You'll be the first impression Yoodli makes on future customers, researching accounts, starting conversations, and creating qualified opportunities for our Account Executive team.
This is a dialing role. And a thinking role. The best BDRs we've seen do both. You'll pick up the phone when others send a fourth email, handle rejection without internalizing it, and still come back the next day ready to go. You'll also be a close link between the market and our marketing team. What you hear on calls shapes how we message, position, and target. No two days look exactly the same, and we need someone who's good with that.

Responsibilities

• Research target accounts and build prospect lists across key segments
• Execute high-volume outbound across phone, email, and LinkedIn, daily
• Triage, prioritize, and route inbound leads quickly and accurately, this matters as much as outbound
• Book discovery calls and set AEs up to succeed with solid context
• Share objection patterns and field signals with marketing to sharpen how we message and target
• Maintain clean, accurate activity and pipeline data in HubSpot
• Use Yoodli yourself to practice cold calls, objection handling, and discovery conversations before the real thing

About You

• 1-3 years in sales development, business development, or market development, ideally prospecting into enterprise B2B SaaS companies
• You've picked up the phone. A lot. And you don't make excuses for low dials.
• You hear "no" and move on without drama
• You use AI to get more done and make your outreach sharper, but you don't let it replace your judgment or your voice
• You write well and communicate with clarity, no fluff, no jargon
• You're curious about why buyers buy, not just whether they'll take a meeting
• Organized, consistent, and honest about your pipeline
• Coachable and competitive in equal measure

Bonus Points

• Experience selling into GTM, L&D, or HR leaders
• Hands-on with tools like Clay, HubSpot, or LinkedIn Sales Navigator
• Based in Seattle or open to relocating, we believe in in-person at AI House

Why Yoodli

• Sell a product that actually makes people better at something hard
• Real mentorship from a senior GTM team that's done this before
• A front-row seat to how an early-stage sales motion gets built
• Competitive compensation:
• OTE: $70K-$90K (base + variable)
• Equity: Early-stage options
• Full benefits: healthcare, dental, vision, 401k, unlimited PTO
• In-person culture at AI House in Seattle, daily lunches, coaching, and more
• Learn more about our team values and culture

RDQ427R371

About the Role

We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.

Impact you will have

• Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.
• Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.
• Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.
• Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.
• Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.

What we’re looking for

• 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.
• Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.
• Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.
• Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.
• Deep knowledge of Databricks platform and Microsoft data/AI ecosystem 
• Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.

Preferred:

• Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.
• Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes.
• History of driving product-to-product integrations between major platforms.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).

Our Mission & Culture

At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact.

We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights.

This role offers a unique opportunity to join a data engineering team  to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. 

What You'll Own and Deliver (Responsibilities)

As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines.

• Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads.
• Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks.
• Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments.
• Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency.
• Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability.
• Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. 
• Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team.
• Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery.

The Expertise You'll Bring (Requirements)

We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Core Technical Competencies:

• Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems.
• CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets.
• Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics.
• Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro.
• Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines.
• API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow.
• Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes.

Highly Valued Experience (Nice to Have)

• Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. 
• Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink 
• Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health.
• Visualization: Experience building dashboards and visualizations to communicate data insights effectively

About Xealth

• Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

• As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek’s World’s Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.

• We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Compensation & Benefits:

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $225,000, depending on geographic market.

 Paid parental leave.
 Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.
Xealth provides your laptop and offers a home office stipend.
 Generous learning & development opportunities for you to grow your skills and career.
 401k Match: Xealth offers a dollar-for-dollar match up to 3%.
 Flexible time off & 10 standardized holidays.
 $500 yearly fitness stipend to spend on staying active.

Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

*Please note - you MUST be a U.S. Citizen or Permanent Resident to be hired*

#LI-DNI

RDQ427R325

About the Role

We're seeking a Senior Staff Partner Engineer to own and evolve the technical foundation of the Built-On program. You will own the Partner Well-Architected Framework, create production-grade reference implementations that demonstrate best practices, and collaborate with VP and C-level executives at strategic partners to co-architect and validate their platforms. You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ecosystem and accelerate partner time-to-market.

Impact you will have

• Own the design, governance, and evolution of the Partner Well-Architected Framework, defining core architecture standards and validation mechanisms for Built-On solutions.
• Work with director, VP, and CPO-level partner architects to design, review, and validate their platforms for security, scalability, and alignment with Databricks standards.
• Build and maintain production-grade reference implementations, blueprints, and technical examples that demonstrate end-to-end Built-On architectures in practice.
• Drive alignment across Product, Engineering, and Field teams to shape platform roadmap priorities based on ecosystem insights and partner requirements.
• Evangelize the framework through clear technical documentation and published guidance, validating partner solutions and approving architectures for Built-On program inclusion.

What we’re looking for

• 10+ years of experience in solution architecture, field engineering, or technical roles in cloud, data, or AI/ML domains, with proven experience designing and owning distributed SaaS platform architectures from end to end.
• Deep expertise in multi-tenant SaaS architectures including authentication patterns (OAuth 2.0, OIDC, SSO federation), data isolation, and security best practices.
• Strong hands-on software development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement.
• Technical expert on Databricks product suite and cloud-native architectures (AWS, Azure, GCP), with ability to translate partner requirements into platform priorities.
• Demonstrated experience managing senior technical relationships (VP/C-level) and complex projects in partner ecosystems, with excellent communication and consultative skills.

Preferred

• Experience building B2B applications on Databricks or familiarity with hyperscaler Well-Architected Frameworks.
• Experience with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).
• Background in consulting or services industry with experience mentoring senior technical talent and leading cross-functional initiatives.

Who we are:

Reports to: Betsy McKibbin, Head of Marketing

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication. Think of it as the batting cage before the big game - but for communication. Whether it’s a sales pitch, manager feedback session, or media interview, Yoodli ovides private, judgment-free, just-in-time coaching. Leaders at companies like Google, Databricks, Snowflake, RingCentral, Toastmasters, and Dale Carnegie use Yoodli to ramp reps faster, improve message delivery, and reduce coaching burden on frontline managers. The result is stronger performance, greater team readiness, and a more scalable path to impact.

We’re building a new category called Experiential Learning: a new AI-powered category that helps people learn through conversational roleplays. People don’t learn from slides: they learn through dialogue, questions, and iteration. Yoodli makes that process interactive, personalized, and always up to date. It’s learning that feels fun, builds confidence, and finally lets organizations measure the ROI of training.

We’ve $40M in Series B funding, doubling our team in 2026, and are headquartered at the beautiful Pier 70 in Seattle.

• TED Talk with our “Why”
• Explainer on experiential learning

The Role

We're looking for a Senior Product Marketing Manager who combines strategic depth with the speed and efficiency of how the best marketers work today. You'll own product positioning and messaging at a strategic level, translating deep customer insight, competitive intelligence, and product innovation into narratives that drive adoption, accelerate pipeline, and build durable category leadership. You'll move fast, stay close to the market, and use every tool available to keep Yoodli's story sharp and current as the product evolves.

This role sits at the center of Product, Marketing, Sales, and Customer Success. You'll set the direction for how Yoodli shows up in the market, lead high-stakes launches, build the systems that scale institutional knowledge, and coach the GTM organization on how to win. As a senior voice in the company, you'll shape both what we say and how we launch, influencing category positioning and messaging strategy.

What You’ll Do

• Own positioning, messaging, and storytelling:
  Define and evolve Yoodli's product positioning, value propositions, and messaging frameworks across buyer personas, translating complex AI capabilities into clear, benefit-led narratives. You'll set the standard for how the entire company talks about what we do and why it matters, and you'll actively steward that standard across channels and teams.
• Lead go-to-market and launch execution:
  Partner with Product, Customer Success, and Sales to design and execute go-to-market and launch strategies for new features, solutions, and partnerships. Drives awareness, engagement, and retention across segments. You won't just execute launches, you'll design the strategy, define success metrics, and ensure the organization is aligned and equipped to win.
• Champion customer and market insight:
  Conduct market research, customer interviews, and competitive analysis to identify trends, unmet needs, and communication pain points; map user journeys to strengthen positioning and product-market fit.
• Build durable, AI-supported market knowledge:
  Create and maintain AI-assisted repositories of personas, objections, use cases, and competitive insights that preserve and scale institutional knowledge across teams.
• Own and enable product marketing collateral end-to-end: Serve as the primary driver of product marketing collateral, working closely with the design team to create high-impact assets. Translate product features into clear creative briefs with recommended visuals, while maintaining decks, one-pagers, videos, messaging guides, and FAQs that help tell the Yoodli story across audiences.
• Support experimentation and continuous feedback loops:
  Pair human judgment with AI-assisted drafting, iteration, and feedback to improve speed, consistency, and messaging precision.

What We’re Looking For

• 8+ years of product marketing experience in B2B SaaS, with a track record of owning positioning and GTM strategy for complex products in competitive markets
• Demonstrated success leading product launches from strategy through execution, including building the enablement systems that sustain adoption post-launch
• Expert-level messaging and storytelling skills. Able to distill complex technology into clear, human narratives that resonate with enterprise buyers and drive action
• Deep experience developing sales enablement assets and enabling revenue teams, including frameworks that hold up across deal stages and buyer personas
• Strong analytical foundation, with comfort using pipeline data, win/loss analysis, and customer research to guide strategic decisions
• A modern approach to the craft. You use AI tools and workflows to move faster on research synthesis, messaging iteration, and keeping enablement assets current, without letting them substitute for the strategic thinking and editorial judgment that make great PMM work actually land
• Experience in a high-growth startup environment, with the ability to operate at both strategic and executional levels
• Highly collaborative leadership style, with a history of influencing cross-functional teams without direct authority

Compensation

• Total compensation is targeted at $165,000 - $185,000 (depending on experience)
• Equity opportunities at a fast growing company
• Health, dental, vision insurance
• 401k plans
• Unlimited PTO, free lunches at the office

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up
• Competitive compensation
• Work on a daily basis with the founding team and mentors
• Join a fun, inclusive and highly motivated team culture (and help define it!)

GAQ227R179

Location: We're looking to hire for this role locally to our offices based in Washington D.C., Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.

Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.

You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.

The impact you will have:

• Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.
• Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market efforts.
• Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
• Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
• Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and Privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.

What we look for:

• Minimum of four (4) years of technology transactions experience either at a law firm and/or in-house Attorney role.
• Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
• Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
• Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period.
• Outstanding written and verbal communication skills.
• Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.
• JD and good standing to practice law in the relevant jurisdiction

RDQ126R35

About Databricks
At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.

Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed.

About the Role

We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions.

As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms.

Your Impact

• Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.
• Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.
• Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.
• Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.
• Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals.
• Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.
• Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.

What We’re Looking For

• Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus.
• 10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.
• Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.
• Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.
• Ability to mentor engineers, influence architectural decisions, and advocate for best practices.
• Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally.
• Bias for action and commitment to delivering high-quality solutions.

Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.

SLSQ227R439

The Manager, GTM Compensation Design & Execution, will lead the strategy and execution of the seller compensation experience, spanning enablement, tooling, analytics, and process design. This role ensures sellers have clear, real-time visibility into how they earn and perform through intuitive compensation systems, dashboards, and communications. By combining strong operational leadership with emerging AI capabilities, this role will drive automation, transparency, and scalable compensation infrastructure while partnering cross-functionally to align programs with business objectives.  This role will fall within Databricks’ GTM Strategy & Operations organization. 

Key Responsibilities:

• Own the end-to-end employee experience for sales compensation, ensuring compensation plans, tools, and processes are transparent, easy to understand, and trusted by the sales organization.
• Lead the compensation enablement program, including onboarding, training, documentation, and ongoing communications that help sellers clearly understand how they earn, track progress against quota, and maximize performance.
• Design and manage sales compensation tools that drive workflow automation, performance reporting, and rep-facing earnings visibility. Partner with technical teams to build and deliver new attainment dashboards that provide real-time performance insights for sellers and leadership.
• Drive AI strategy within the sales compensation function, identifying opportunities for AI to improve compensation performance insights and enhance rep self-service. Establish a roadmap for AI use cases for the GTM Compensation Program and a path to execution. 
• Partner cross-functionally with GTM Leadership,  Finance, Product and IT to ensure compensation programs and tools are scalable, compliant, aligned to company goals, and deliver a positive and motivating experience for employees.

What we look for:

• 5+  years in sales compensation, revenue operations, sales operations or sales programs 
• Experience creating and presenting enablement content to a Sales organization. Must be able to deliver messaging with clarity and confidence, articulating the strategic rationale behind decisions. 
• Expertise in designing, implementing, and administering variable sales compensation plans for GTM organizations, preferably under a Consumption revenue model
• Extensive experience in revenue operations, strategy, and planning at a high-growth, technology company
• Expertise in content development and executive summaries
• Ability to operate independently and as part of a team that contributes to the organization's success and growth
• Experience with Databricks preferred; familiarity with AI/BI dashboarding tools, Google Workspace, and content creation platforms

P-1700

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers and customer-obsessed, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. Lakebase provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI.

We are looking for a Staff Database Engineer to help build the Lakebase product, advising software engineering teams on functional and non-functional feature designs and working with product teams to validate that designs satisfy customer requirements. You will design operational tools to simplify troubleshooting and enterprise extensions for Lakebase to meet customer security and observability requirements. You will assist field engineers with complex and demanding POC’s and advise customers and field engineers on best practices for application and database design to maximize performance. 

What we look for:

• A passion for database systems and application performance tuning
• Experience building and operating high-volume OLTP systems including root cause analysis for incidents
• Experience building tools to automate database management, monitoring, and operations
• Experience with query tuning in Postgres (schema design, indexes, hints, vacuum, etc)
• Motivated by delivering customer value and impact
• 5+ years of experience working with Postgres and other database systems

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

GAQ426R237

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

Overview:

Databricks is seeking a Senior Manager, Finance PMO and Operations, with a specialized focus on FP&A. You will be responsible for driving organization, transformation, innovation, and operational efficiency at scale, as well as managing key programs across global Finance teams within the CFO organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.

You will partner with teams across the Finance organization, including various FP&A teams (Corporate, GTM, Product, etc.) and partners within the broader CFO org. In addition, you will collaborate with cross-functional teams such as IT, People, Engineering, Product, Go-to-Market, and Pricing. You will own project and program management, including OKR setting, process optimization, transformation roadmaps, and organizational management and communications on behalf of the FP&A team. 

Your passion should be collaborating with FP&A and other cross-functional partners to drive programs for efficiency and transformative change across the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements. You will also leverage AI and emerging technologies to improve Finance workflows and optimize our team’s work, enabling smarter decision-making, predictive insights, and scalable automation across core Finance processes.

The impact you will have:

• FP&A Project and Program Management:
• Facilitate the annual FP&A goal and OKR setting process and track/drive the execution of those goals
• Streamline and own planning, intake, and prioritization processes across FP&A on key priorities related to Data and AI, systems enhancements and process improvements, ensuring alignment with the Company and Finance team’s goals and strategy
• Manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams
• FP&A Process Optimization:
• Collaborate with FP&A teams to document and evaluate existing FP&A processes
• Drive end-to-end FP&A process optimization and standardization, leading the re-architecting of processes as necessary ensuring success criteria and metrics are achieved, and stakeholder enablement is completed
• Partner with cross-functional and internal Finance teams to implement scalable, automated solutions leveraging our Databricks product as well as AI and machine learning tools where applicable
• FP&A Organizational Management and Communications:
• Support the design and buildout of an FP&A organization that supports Databricks’ growth
• Facilitate recurring FP&A leadership meetings and FP&A all-hands meetings, including creating agendas and content
• Lead executive communications and reporting to ensure transparency on project progress, risks, and outcomes

What we look for:

• Bachelor’s degree in Business, Finance, or related field
• 8+ years of experience working in or with FP&A teams
• 8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation
• Expertise in program management, executive communications, reporting, and metrics
• Experience implementing or managing AI and automation tools within Finance organizations
• Expertise in planning, OKRs, and QBRs
• Experience in process improvement and optimization
• Proficiency with JIRA, project management tools, and reporting systems
• SaaS industry experience is a plus
• SQL or Python experience is a plus
• Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides

RDQ427R276

Location: San Francisco or Seattle

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

More about the team:

The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.

Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations.

You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
• You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.
• You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

What we look for:

• 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.
• Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.
• Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus.
• Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.

RDQ427R275

Location: San Francisco or Seattle 

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

More about the team: 

The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.

Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.

The impact you will have:

• Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year 
• Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
• Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready
• Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
• Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.

What we look for:

• 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
• Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.
• Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences.
• Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.

RDQ127R264

This role is open to remote candidates within the U.S., with a preference for those based in the San Francisco/ Bay Area or Seattle/Bellevue. U.S. citizenship is required.

Databricks is seeking an exceptional and strategic  Sr. Staff Security Engineer, Incident Response to join our Incident Response team. This pivotal role will provide decisions that have a direct impact on the long-term success of Databricks' security posture, creating solutions that enable potential future opportunities without a known path. You will play a key role in developing multi-year technology strategy for complete and critical areas of the business, encompassing multiple systems and teams, consistently delivering large-scale projects that meet company goals.

The Incident Response team's mission is to rapidly, efficiently, and standardly respond to security threats, incidents, and investigations to protect our customers, employees, and enterprise data. We leverage Databricks' own platform for near-real-time log analytics, alerting, and forensics, embracing a "Security for Databricks on Databricks" philosophy. As an Sr. Staff Security Engineer, you will tackle the most technical SIRTs, drive complex, open-ended problems with no obvious path to success, act as a multiplier by enabling systems, authoring tools, or introducing policies that elevate the entire organization's productivity.

The impact you will have:

• Strategic Impact & Technical Vision: Drive or influence the organization’s direction and roadmap, leading internal conversations about major technology areas and inspiring adoption. Provide decisions with direct, long-term impact on Databricks' success.
• Incident Leadership & Crisis Management: Lead complex investigations and impact analysis, performing crisis management using the Incident Management System (IMS). Engage with various stakeholders and communicate findings to executive leadership, ensuring successful navigation of major security incidents with minimal business impact.
• Advanced Threat Management: Exhibit expert knowledge in all cloud vendors used by Databricks (AWS, Azure, GCP), deeply understanding the entire architecture of major business components and articulating their security and risk limits. Drive the establishment of a cutting-edge threat detection and response program, significantly reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) to security incidents.
• Technical Innovation & Automation: Architect scalable and organized frameworks for security automation and orchestration, including pre-investigation analysis and triage of alerts. Understand trends and directions of the security industry within your domain and architect large-scale designs consistent with organizational and company goals.
• Problem Solving: Demonstrate the ability to fix difficult and company-impactful problems wherever they lie, even if outside your comfort zone. Possess a full understanding of what malicious activity looks like in each cloud layer (network, storage, compute), understanding existing logs and correlating from multiple sources during an investigation.
• Cross-Functional Collaboration & Mentorship: Serve as a role model and mentor to every technical member of the team. Identify areas where Databricks can share effectively with the outside world, guiding content creation and communication via presentations and blogs. Work across departments, integrating security practices into various aspects of the organization and product development lifecycle.

What we look for:

• Experience: Typically 12+ years of experience in security, with a strong focus on incident response, detection, and/or threat intelligence, or an advanced degree with 8+ years of experience. This includes deep expertise in Incident Management and Incident Response tool development.
• Cloud Security Expertise: Demonstrates knowledge of Azure and AWS cloud concepts, showing expertise in analyzing logs, correlating available log sources to conclude an attack scenario, and identifying logging gaps to suggest best configurations for IR needs. You can function as an architect of cloud deployment and map cloud environment fundamentals to other major providers.
• Digital Forensics: Highly skilled in multiple areas of digital forensics (e.g., Network, Application/Log Analysis, Host/Disk, Memory Forensics/Malware Analysis, Cloud Forensics, Endpoint Forensics), able to speak confidently on advanced concepts like virtualized networking, advanced network anomalies, and container forensics.
• Enterprise Security: Has a detailed understanding of enterprise security incidents and in-depth knowledge of malware on endpoints. Possesses expert understanding of MacOS security posture and architecture.
• Technical Depth: Proficient with SIEM and SOAR platforms, EDR solutions, and forensic analysis tools. Skilled in leveraging AI and automation technologies to enhance security operations and threat detection capabilities.
• Leadership & Communication: Exceptional ability to engage in difficult conversations, handle them appropriately, and exhibit empathy and emotional intelligence. Proven capability to build, mentor, and lead high-performing cybersecurity teams, fostering a culture of excellence and continuous improvement. Strong communication of technical decisions through design docs and tech talks.
• Bias for Action & Collaboration: A history of proactively identifying and solving issues that impact the team and company. Demonstrates a strong desire to help peers and collaborate effectively.
• Customer/Stakeholder Obsessed: Able to push back or say no to unreasonable stakeholder requests in a professional and constructive manner.

U.S. Citizenship Requirement

This role will involve services that are covered by and must comply with the U.S. Government information security and federal contractor regulations, including, without limiation, Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, FedRAMP High baseline, and requirements of certain federal contracts.  Therefore, this role is open to United States citizens on United States Soil only. 

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R319

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Ability to travel up to 30% when needed

RDQ427R130

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

More about the team: 

A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.

We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.

You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

RDQ427R130

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

More about the team: 

A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.

We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.

You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

P-1299

Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially. 

To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all. 

The space we work in and the problems we solve are massive, complex, and very deep (our published work on Lakehouse, Delta lake, and Photon are a testament to that). We’re looking for practitioners who are eager to work with the best in industry to push the boundaries of what’s possible for our customers. If you’re truth seeking, data driven, and love to operate from first principles (head fake: our core values), then Databricks is the place for you.

As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems:

• Query compilation & optimization
• Distributed query execution and scheduling
• Vectorized engine execution
• Data security
• Resource Management
• Transaction coordination
• Efficient storage structures (encoding, indexes)
• Automatic physical data optimization

What we look for:

• PhD in databases or systems
• A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization
• Motivated by delivering customer value and impact

P-1489

About Databricks

At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.

The Role

We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure.

This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. 

To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams.

You will have the opportunity to:

Lead Reliability Strategy + Multi-Quarter Roadmaps

• Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.
• Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.

Drive Execution of Critical Reliability Programs

• Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.
• Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.

Partner Deeply with Engineering & Influence Technical Direction

• Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.
• Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.
• Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.

Elevate Reliability Culture Across the Organization

• Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.
• Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.
• Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.

What we look for:

Required Experience & Qualifications

• 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.
• Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.
• Demonstrated success leading Reliability Programs at scale -  including availability, failover, operational excellence, incident reduction,  or dependency hardening.
• Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.
• Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives.
• Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.
• Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.
• Experience delivering programs across multiple clouds and/or large-scale cloud-native services.
• Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.

Preferred Qualifications

• Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.
• Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.
• Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.
• Expertise using Jira or equivalent tools for program tracking and execution.
• Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.

GAQ127R55

Location: This position will be based in Seattle, Bellevue, Denver, or Chicago.  This will be a hybrid role with in-office expectations. 

About the Role:

Databricks is seeking a Sr. Contracts Negotiator to support our growing Healthcare and Life Sciences (HLS) commercial business. Reporting to the Director, Assistant General Counsel, you will negotiate and close complex commercial transactions with HLS customers, including Master Cloud Services Agreements (MCSAs), Business Associate Agreements (BAAs), Data Privacy Agreements, NDAs, Statements of Work, and Order Forms, often addressing topics such as data privacy, information security, intellectual property, and emerging technologies, including AI.

This role is ideal for someone who loves commercial transactions, excels at navigating complex contract issues, and takes pride in helping close strategic, high-impact deals that move the business forward in a fast-paced, collaborative environment.

What You Will  Do

• Negotiate, draft, and close commercial agreements (including MCSAs, Order Forms, and BAAs) with HLS customers, ensuring compliance with company policies, data privacy, information security, and applicable healthcare regulations.
• Support assigned Attorneys on complex or strategic transactions and assist in driving deal execution for key accounts.
• Partner with Sales, Finance, Product, and Compliance teams to facilitate revenue-generating transactions while managing legal and commercial risk.
• Triage and manage incoming contracting requests using Databricks’ contract lifecycle management (CLM) tools, ensuring timely review, accurate routing, and collaboration with cross-functional stakeholders to resolve issues efficiently.
• Streamline contracting processes and workflows, and contribute to improving templates and HLS-specific playbooks to support scale and consistency.
• Advise on commercial and operational risks by developing subject-matter expertise in HLS customer transactions and Databricks’ contracting framework.
• Contribute to Legal team OKRs and strategic initiatives, including contract lifecycle management enhancements and cross-functional projects.

Who you Are

• Bachelor’s degree or equivalent.
• 5+ years of commercial contract negotiation experience, ideally supporting sales teams at cloud-based or SaaS technology companies.
• Familiarity with healthcare and life sciences regulatory frameworks, including HIPAA compliance, Business Associate Agreements (BAAs), and related data privacy and information security requirements.
• Strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Process-oriented mindset with experience improving contracting workflows and driving operational efficiency.
• Effective communicator with the ability to build strong relationships and collaborate across internal teams and with customers.
• Proactive, organized, and dependable — you take initiative, communicate early and clearly, and keep cross-functional partners informed as deals progress.
• A fast learner who’s curious about Databricks’ products and not afraid to ask questions or seek guidance from colleagues when tackling complex issues.

RDQ127R236

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
• Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
• Collaborate with leadership to align product initiatives with business goals.
• Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
• Deep understanding of data platforms, the compute products that power them, and compute use cases.
• Educational background in computer science or related engineering practice.
• Experience working with engineers and designers to ship high-impact and cross-functional products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.

GAQ426R79

About the Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.

What we look for
Databricks is looking for an experienced Proposal Coordinator to support the Global Proposal Program Manager with accelerating field sales and Databricks’ go-to-market efforts. The Proposal Coordinator will report into Databricks' Legal Operations Leadership and will be an important part of the team responsible for providing legal support for Databricks' revenue-generation activities. Specific responsibilities include responding to a variety of international and U.S. customer questionnaires, RFQs, RFIs, registration, supplier, and onboarding forms, and the like – for new and current customers.

The successful candidate will also manage a queue for the questionnaires and other requests, including pulling in subject matter experts. There might also be an opportunity to work with the Global Proposal Program Manager on RFPs, via an intake program/process. The ideal candidate will be an expert at coordinating with cross-functional teams and subject matter experts worldwide to ensure timely and compelling responses that align with Databricks’ global strategy, compliance requirements, and internal policies. 

We are also looking for someone with commercial GenAI-driven automated strategic response management experience, including automation for streamlining the answer process; creating and/or maintaining a knowledge base of questions and answers; and creating enablement focused on educating internal customers (e.g., field sales) on the program/process. As the Global RFx program evolves, so will the role and responsibilities. 

The impact you will have

• You will coordinate with customer questionnaire teams, collaborate closely with internal and external stakeholders, and deliver high-quality content and compelling responses.
• You will help track questionnaires and proposals (e.g., downselection rate for RFx, revenue impact, on-time/SLA completion rate, questionnaire types, revenue impact), identify areas for improvement, and refine future response strategies.
• You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.
• You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.

• You routinely identify and recommend opportunities to change and improve ways of working.
• You are a bar raiser, constantly looking to improve standards within the team, such as by creating and implementing new approaches in standardizing proposal/customer questionnaire response formats and updating guidelines to streamline  process and quality across different regions.

What we look for

• Outstanding interpersonal and communication skills
• Three or more years of experience working as the primary proposal management resource for RFx, due diligence questionnaires, and vendor onboarding questionnaires. 
• Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.
• Bachelor's degree or equivalent.
• Demonstrable experience with supporting RFx programs, including knowledge of public sector programs.
• Familiarity with analyzing RFx and questionnaire requests to create tailored, compelling responses.
• Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).
• Strong project management skills.
• Excellent written and verbal communication.
• Ability to work effectively with cross-functional teams across diverse cultures.
• Strategic thinking and problem-solving abilities.
• Familiarity with relevant industry regulations and compliance requirements.
• Proficiency with proposal management software.

RDQ127R133

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Performance Engineering team works closely with multiple teams across the company to evaluate the performance of products and features, identify performance bottlenecks, and partner with engineers to solve performance and scalability issues. This implies, among other things, setting performance targets for various software releases, guiding teams to develop performance benchmarks, running competitive benchmark analysis for different Databricks products, doing deep dive analysis to identify performance issues and fix them. As the Sr. Engineering Manager, you will build partnerships with various engineering organizations, drive performance and scalability projects across these teams to deliver the fastest and most cost effective solutions in the market.

Key Responsibilities

• Technical Leadership: You will lead and guide the team to Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved.  
• Team Development: You will oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
• Cross-Functional Collaboration: Work closely with product and infrastructure teams to align strategy, execution, and roadmap in alignment with organizational goals and priorities.

What We Look For

• 5+ years experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions. 
• Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.
• At least  3 years of experience in managing top-tier engineering teams
• BS in Computer Science (Masters or higher level of education preferred)
• Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

RDQ127R236

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
• Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
• Collaborate with leadership to align product initiatives with business goals.
• Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
• Deep understanding of data platforms, the compute products that power them, and compute use cases.
• Educational background in computer science or related engineering practice.
• Experience working with engineers and designers to ship high-impact and cross-functional products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.

RDQ127R47

At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses.

More about the Team:

The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI.

The impact you will have:

• Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
• Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
• Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
• Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
• Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.

What we look for:

• 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
• Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
• Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
• Track record of bringing products from vision to launch in fast-moving, competitive spaces.
• Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
• Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
• Bonus: exposure to building AI/ML or generative AI–powered products.

RDQ426R242

Databricks is a powerful, technical platform used by a diverse and growing range of personas, from data scientists and engineers to analysts and business leaders, to developers. To help these users succeed, we need world-class content that is timely, contextual, accurate, and helps users achieve their goals. This leads to faster adoption, lower support costs, and higher customer satisfaction. Achieving this impact requires a strategic shift: treating content as part of the product.

We’re looking for a Product Manager to lead our Content Experience strategy. In this role, you will own how users discover, learn from, and act on content: across documentation, in-product help, AI-assisted guidance, and beyond. You’ll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.

What You’ll Do

• Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
• Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
• Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
• Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
• Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
• Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.

What We Look For

• 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
• Deep understanding of developer tools, data platforms, or technical products with large surface areas
• A strong systems mindset — comfortable designing scalable workflows, content architectures, and tooling integrations
• Experience with developer documentation, content platforms, or product onboarding is a plus
• Strong customer empathy and an obsession with helping users succeed
• Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
• Experience working with technical and non-technical contributors in a collaborative content ecosystem

P-1413

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more!  

We're seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production!

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

• You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing.
• You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
• You will build processes to implement product vision and strategy, according to organizational goals and priorities.
• You will build software that is not just high quality, but easy to operate.
• You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

What we look for:

• 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications
• 2+ years leading and managing a high-performing engineering team.
• A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality
• Demonstrated ability to mentor, coach, and develop engineering talent at various levels
• Ability to drive technical initiatives that improve overall team efficiency and code quality
• Experience in setting and achieving ambitious team goals aligned with company objectives
• Strong track record of attracting, hiring, and retaining top engineering talent
• Experience managing distributed teams across multiple locations.
• Adaptability and resilience in a fast-paced, rapidly evolving tech environment

RDQ226R484

Build the Future of Data & AI with Databricks SQL

At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse? 

We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.

Why Join Us?

• Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
• Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
• Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
• Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.

The impact you will have:

• Own and define the product vision, strategy, and roadmap for Databricks SQL
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Drive competitive differentiation and positioning in the cloud data warehouse market.
• Collaborate with leadership to align product initiatives with business goals.
•  Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience (preferably in cloud, analytics, or data platforms).
• Deep understanding of SQL, data warehousing, BI, and analytics use cases.
• Ability to break down complex problems into simple, scalable solutions.
• Strong sense of ownership—you thrive in ambiguity and love solving hard problems
•  Experience working with engineers and designers to ship high-impact products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.

Ready to Build the Future?

If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.

RDQ126R51

Mission

At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.

We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

The Impact You Will Have

• Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
• Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
• Work with academic and learning program partners to support data and AI education through Databricks.
• Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
• Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
• Define and track success metrics that measure learning engagement and user outcomes.

What We Look For

• 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.
• Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
• Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
• Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
• Technical proficiency to collaborate effectively with engineering on data and platform capabilities.