
Databricks · London
GAQ227R211 Mission We're looking for a Tech Recruiter with experience driving recruitment in the EMEA region to help us identify and hire great people for Dat...
Mission
We're looking for a Tech Recruiter with experience driving recruitment in the EMEA region to help us identify and hire great
people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and
invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create
targeted recruiting strategies while partnering with leadership to build inspired teams.
offering and drive Diversity and Inclusion in our hiring
success to our team.
knowledge within the business and our wider team
AI space.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific
details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to
ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment
at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or
expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,
socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's
discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an
applicant on this basis alone.
GAQ127R121 Mission We're looking for a Senior Recruiter with experience driving recruitment in the EMEA region within our Sales team, to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. You will report directly to the Manager, EMEA Talent Acquisition. The impact you will have: * Apply your knowledge to meet our hiring needs within Sales and develop unique full-cycle hiring strategies. * Build engaged talent pipelines for roles across Sales, with active and passive candidates which can sustain long-term hiring goals * Create closing approaches to manage partner expectations through market data * Lead the business with data to promote future workforce planning decisions and accurate forecasting * Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring What we look for: * Experience with recruiting for Sales professionals from Entry level to Director within the software industry. * Experience building strategic partnerships within the business and cross-functionally. * You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team. * Experience serving as a mentor and expert regarding all recruiting-related activities and be comfortable sharing your knowledge within the business and our wider team * Significant experience in a recruiting environment, ideally in-house, focussed on the SaaS software, ideally within the Data and AI space. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape RESPONSIBILITIES: * Data Commercialization & Audience Go-to-Market * Audience Strategy: Own the end-to-end go-to-market strategy for Lyft’s first-party audience data, defining how real-world mobility signals and consumer journeys are packaged into high-value targeting segments. * Value Positioning: Develop compelling narratives, positioning frameworks, and sales enablement tools that clearly articulate the unique value of Lyft’s deterministic identity and location-based data. * Commercial Design: Partner with Product, Data Science, and Finance to define pricing frameworks and packaging structures for audience segments and advanced data targeting features. * Measurement, Attribution & Reporting Strategy * Attribution GTM: Drive the commercial rollout and adoption of in-house conversion modeling, multi-touch attribution, and offline-to-online conversion capabilities built by the Ad Infrastructure team. * Reporting & Interfaces: Inform the commercial requirements for advertiser-facing reporting systems, ensuring data transparency, ease of campaign management, and frictionless ROI reporting. * Market Education: Translate complex technical ad tech concepts (e.g., event data generation, signals, data clean rooms) into clear, compelling narratives for sales teams, brands, and top-tier agencies. * Ecosystem & Bespoke Data Partnerships * Strategic Alliances: Identify, evaluate, and lead the development of bespoke data partnerships with high-value external platforms, brands, and ecosystems to create custom, mutually beneficial data-sharing or co-targeting opportunities. * Commercial Deal Structuring: Partner with leadership, Legal, and Finance to influence commercial negotiations, governance models, and revenue-sharing structures for unique data collaboration agreements. * Partner Strategy & Accountability: Manage relationships with key third-party measurement providers, verification partners, and data networks ; drive joint business plans, QBRs, and partner prioritization frameworks optimized for audience scale and revenue impact. * Infrastructure Collaboration: Partner with Ad Infrastructure PMs, AdTech, and Engineering to ensure external partner connections, custom clean room setups, and attribution tools are optimally implemented and scalable. EXPERIENCE: * 10+ years of experience in digital advertising, with meaningful depth in measurement, attribution, ad tech infrastructure, or data-driven commerce/retail media. * Deep Technical & Data Literacy: Strong knowledge of the ad tech data ecosystem, including conversion modeling, third-party measurement integrations (offline/online conversions, viewability), CDPs, and data clean rooms. * Strategic Partnership Experience: Demonstrated experience structuring, negotiating, and growing commercial partnerships with technology vendors, measurement providers, or bespoke data platforms. * GTM Expertise: Experience developing market positioning, packaging, and pricing frameworks for data products, SaaS measurement tools, or complex ad tech solutions. * Cross-Functional Leadership: Exceptional collaboration skills; proven ability to bridge commercial and technical teams, working seamlessly across Sales, Product, Engineering, Data Science, Legal, and Finance. * Analytical Rigor: Strong financial modeling and analytical skills; ability to build data-backed business cases, evaluate ecosystem dynamics, and model complex partner revenue scenarios. * Education: Bachelor’s degree or equivalent experience. * Preferred * Prior experience in a product marketing, business development, or strategic partnerships role directly supporting an Ad Infrastructure, Data, or Measurement product line. * Experience establishing and growing custom or bespoke data monetization programs at a commerce media network, retail media network (RMN), mobility platform, or high-growth digital publisher. * Familiarity with privacy-safe data collaboration methodologies, clean room architectures, and advanced attribution frameworks. * Experience building and managing joint business plans with major agency holding companies and strategic data brokers to drive incremental ad spend. BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $143,000 - $178,750, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Programmatic Ad Solutions. This is a unique and high-impact role at the intersection of programmatic advertising, revenue partnership development, and go-to-market strategy. You will own three interconnected pillars that are core to Lyft Ads' growth: building our programmatic and Audience Extension business, managing key channel and demand partners, and developing the packaging and pricing strategy that powers our sales organization. This role requires a rare blend of strategic thinking, commercial acumen, and operational execution. You will work closely with Product, Data Science, Sales, and external partners to define how Lyft Ads goes to market — both on-platform and off — and to ensure we are positioned to win against competitors in the rapidly evolving commerce media landscape. RESPONSIBILITIES: * Programmatic Strategy & Audience Extension Go-to-Market * Own the end-to-end strategy and go-to-market for Lyft Ads' programmatic business, with a primary focus on Audience Extension solutions that extend Lyft's first-party data and targeting capabilities beyond the app. * Develop compelling narratives, positioning frameworks, and packaging structures that clearly articulate Lyft Ads' programmatic differentiation to agencies, brands, and demand partners. * Define the commercial and product strategy for how Audience Extension is sold, including deal structures, influencing pricing, audience segmentation, and measurement integration. * Partner closely with Product Management and Data Science to ensure programmatic offerings are technically sound, scalable, and competitively differentiated. * Monitor programmatic market trends, competitive dynamics, and evolving buyer behavior to proactively refine strategy and maintain a leading position. * Drive revenue growth through programmatic channels by identifying new demand sources and structuring scalable, repeatable go-to-market motions. * Programmatic Channel & Partner Management * Identify, evaluate, and manage relationships with key programmatic channel and revenue partners including DSPs, SSPs, data clean rooms, ad networks, and measurement providers. * Partner with the leadership team to influence commercial negotiations and deal structuring across the programmatic partner ecosystem — defining how Lyft Ads integrates technically, commercially, and strategically with each partner. * Build a partner prioritization framework that optimizes for revenue impact, technical efficiency, audience scale, and strategic alignment. * Serve as the primary business point of contact for programmatic demand and measurement partners; drive QBRs, joint business plans, and revenue accountability. * Work with Engineering, AdTech, and Product teams to ensure partner connections are optimally implemented and continuously improved. * Evaluate emerging demand sources and new partnership models (e.g., retail media networks, data collaboration platforms) to identify incremental revenue opportunities for Lyft Ads. EXPERIENCE: * 10+ years of experience in digital advertising, with meaningful depth in programmatic, ad tech, or commerce/retail media. * Strong knowledge of the programmatic ecosystem — including DSPs (e.g., DV360, The Trade Desk, Amazon DSP), SSPs, DMPs, CDPs, clean rooms, and measurement partners. * Demonstrated experience structuring and negotiating commercial partnerships with technology and demand-side platforms. * Experience developing go-to-market strategies and pricing frameworks for advertising products. * Exceptional cross-functional collaboration skills; proven ability to work across Sales, Product, Engineering, Data Science, Marketing, and Finance. * Strong analytical and financial modeling skills; ability to build business cases and model revenue scenarios. * Outstanding written and verbal communication skills; capable of translating complex ad tech concepts into clear, compelling narratives for diverse audiences. * Bachelor's degree or equivalent experience. * Preferred * Experience at a commerce media company, mobility platform, retail media network, or high-growth digital publisher. * Familiarity with audience extension products and off-platform programmatic solutions built on first-party data. * Prior experience in a product marketing, strategy, or bizdev role within an ad tech organization. * Understanding of location-based advertising, mobility data, and contextual targeting methodologies. * Experience building and managing joint business plans with major agency holding companies and independent agencies. BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $143,000 - $178,750, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.