On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios.

We’re a fast-paced, inclusive team that values innovation, learning, and impact.

If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you.

Responsibilities

Define and drive the technical vision and architecture for large-scale, complex systems, ensuring scalability, reliability, security, and cost efficiency.

Hands-on, contributing to core code, complex implementations, and production issue resolution.

Influence and align multiple teams and stakeholders across organizations through strong technical leadership.

Partner with Product Management and leadership to translate business goals into robust technical solutions.

Mentor engineers, raise the technical bar, and promote a culture of engineering excellence.

Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency.

Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions.

Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability.

Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities.

Qualifications

Required Qualifications:

BS degree in CS or related engineering field

6+ years Hands-on experience with modern programming languages (e.g., C#, Java, C++, Python, Go).

Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI

Proven experience designing and operating distributed, cloud-based systems at scale.

Ability to influence without authority and drive alignment across multiple teams.

Strong expertise in system architecture, data structures, algorithms, and software design patterns.

Experience with microservices, data pipelines, or large data systems.

Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools

Preferred Qualifications:

Experience with AdTech is a big plus.

Experience building high-throughput, low-latency, or mission-critical services.

Deep knowledge of Azure or other hyperscale cloud platforms.

Experience with data-intensive systems, machine learning platforms, or large marketplaces.

Track record of leading major architectural initiatives or platform transformations.

Strong written and verbal communication skills, including technical design documentation.

A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility

Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios.

We’re a fast-paced, inclusive team that values innovation, learning, and impact.

If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you.

Responsibilities

Define and drive the technical vision and architecture for large-scale, complex systems, ensuring scalability, reliability, security, and cost efficiency.

Hands-on, contributing to core code, complex implementations, and production issue resolution.

Influence and align multiple teams and stakeholders across organizations through strong technical leadership.

Partner with Product Management and leadership to translate business goals into robust technical solutions.

Mentor engineers, raise the technical bar, and promote a culture of engineering excellence.

Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency.

Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions.

Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability.

Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities.

Qualifications

BS degree in CS or related engineering field

6+ years Hands-on experience with modern programming languages (e.g., C#, Java, C++, Python, Go).

Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI

Proven experience designing and operating distributed, cloud-based systems at scale.

Ability to influence without authority and drive alignment across multiple teams.

Strong expertise in system architecture, data structures, algorithms, and software design patterns.

Experience with microservices, data pipelines, or large data systems.

Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools

Preferred Qualifications

Experience with AdTech is a big plus.

Experience building high-throughput, low-latency, or mission-critical services.

Deep knowledge of Azure or other hyperscale cloud platforms.

Experience with data-intensive systems, machine learning platforms, or large marketplaces.

Track record of leading major architectural initiatives or platform transformations.

Strong written and verbal communication skills, including technical design documentation.

A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility

Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.

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We are looking for a Sr. Product Manager to own the vision, strategy, and execution of our Adaptive Intelligence Decision Platform, supporting Cloudflare's best-in-class Application Security products. You will guide a newly formed team to build a closed-loop system where every interaction automatically refines our global threat models.

Key responsibilities include:

• Building out the strategy, architecture, and User Interface of one of the most ambitious programs in security.
• Working directly with some of the largest Enterprises in the world to build best-in-class solutions that solve real problems.
• Defining and guiding internal and external thought leadership around the way we think about Ground Truth in an adversarial environment.
• Collaborating with Cloudflare's Data Science team to invent the future of application security, and fraud & abuse detection.

To succeed in this role, you will need:

• 8+ years of experience as a Product Manager, Technical Program Manager, Data Scientist, Threat Analyst, or equivalent delivering solutions that focus on distilling and deriving insights out of enormous, real-time signal sets.
• A customer-focused mindset, with experience designing for enterprises without compromising the experience for individuals and small businesses.
• An adversarial mindset, thinking like a hacker and assuming the feedback loop is under attack.
• Strong data fluency, leading teams to achieve outcomes while understanding technical challenges.

Experience in AdTech, FinTech, Trust & Safety, or Active Analytics is valuable, but not required.

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We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large-scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.

As a Senior Machine Learning Engineer, you will design and implement machine learning systems for ad performance optimization. You will research and apply ML optimization strategies to balance multiple objectives effectively. You will analyze data and use machine learning techniques to understand user behavior and improve ad experiences. You will collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.

The ideal candidate will have professional experience in applied machine learning. They will have strong technical expertise in software engineering, data analysis, and machine learning. They will be proficient in programming languages such as Python, Java, or Scala. They will have experience with TensorFlow or PyTorch and working with various aspects of the ML lifecycle. They will also have expertise in developing data pipelines using tools like Apache Beam or Spark.

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Key responsibilities include:

• Scaling the decision-making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improving the developer experience for the data science team
• Upgrading our observability tooling
• Serving as a technical lead and mentor to the team
• Making every deployment smooth as our infrastructure evolves

Requirements include:

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice-to-haves include:

• Reverse-engineering experience
• Terraform, EKS, or MLOps experience
• Python, Scala, or Zig experience
• NixOS experience
• Adtech or CTV experience
• Experience deploying a distributed system across multiple clouds
• Experience in hard real-time low-latency

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Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

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In this role, you will lead a team of global media planners responsible for developing audience-first, account-focused media strategies that engage both technical practitioners and executive decision-makers across priority target accounts.

You will set the strategic frameworks that guide media planning across integrated campaigns and ensure media investments drive measurable business impact.

This is a highly cross-functional leadership role within the Global Digital Marketing organization.

You will partner closely with Corporate Brand, Product Marketing, Integrated Campaigns, Field Marketing, Analytics, and external media agencies to deliver cohesive, data-driven media strategies at scale.

The impact you will have:

• Guide the development of cross-channel media strategies that support integrated campaigns, product priorities, and target account programs

• Lead, develop, and inspire a high-performing global team of media planners, providing clear direction, coaching, and accountability

• Own hiring for the global media strategy function by assessing talent needs, making high-quality hiring decisions, and maintaining a strong talent bar

• Create an environment of continuous learning with clear expectations, coaching, and growth opportunities for team members

• Partner with cross-functional stakeholders to align media plans, investment strategy, and budget allocation with business goals

• Establish and scale global media planning frameworks, processes, and best practices

• Analyze media performance at a global level and present clear, actionable insights to senior stakeholders

• Ensure media strategies are grounded in strong audience insights and aligned to key practitioner and executive personas

• Drive close collaboration with Analytics to ensure consistent measurement frameworks and performance reporting

• Partner with agencies and AdTech vendors to ensure innovation, accountability, and executional excellence

• Model and reinforce Databricks' culture principles, fostering a collaborative, inclusive, and high-performance team environment

• Stay ahead of evolving media trends and best practices to continuously raise the bar on strategy and impact

What we look for:

• 10+ years of experience in media strategy, digital marketing, or integrated marketing, preferably in B2B and/or SaaS

• Proven experience leading global media planning efforts across multiple channels and funnel stages

• Demonstrated experience hiring, developing, and managing teams of individual contributors, including early and mid-career talent

• Strong understanding of full-funnel marketing measurement, including brand, demand, pipeline, and revenue metrics

• Ability to set clear objectives, prioritize effectively, and empower teams to deliver results with autonomy

• Strong collaboration and influencing skills, with experience driving alignment across matrixed organizations

• Excellent analytical skills with the ability to translate complex data into clear strategic recommendations

• Experience working closely with Field Marketing, Product Marketing, Brand, and Analytics teams

• Familiarity with modern media platforms, AdTech, and measurement tools

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipated utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $183,400-$252,250 USD

Zone 2 Pay Range $165,100-$227,050 USD

Zone 3 Pay Range $155,900-$214,400 USD

Zone 4 Pay Range $146,700-$201,750 USD

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In this role, you will:

• Diagnose data challenges and contribute to overarching strategic vision for key clients through insight and data analysis.
• Drive adoption and champion usage of technology (AdTech, MarTech, and Brainlabs proprietary Tech) for your clients.
• Understand and contribute to first-party data (1PD) strategies and unlock access to this data for media execution.
• Participate and present your work in pitches and client meetings.
• Contribute to the growth and strategy, helping to shape the future direction of the Data Strategy team and wider strategy and planning team.

To succeed in this role, you will have 8+ years of experience delivering data strategies to leading clients, proven data capabilities, and the ability to utilise data insight to drive media and marketing effectiveness.

You will live our culture code every day, meet annual data revenue targets, become an indispensable strategic adviser for your clients, and have a 'book of value' that showcases the impact of your work.

We are proud to be an equal opportunity workplace and actively seek and encourage applications from candidates with diverse backgrounds and identities.

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