Lead Program Manager, Vendor Operations

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Our Global Mid-Market (MM) Revenue Strategy & Operations (RSO) team is seeking a Global Mid-Market Strategy & Operations lead to partner closely with cross functional partners to improve the demand generation ecosystem. This role will sit at the intersection of MM Sales, RTech, Central Ops, and MarOps, with a core focus of improving the demand generation engine for mid market.   This includes in depth analyses,  lead flow improvements, automation, (e.g., Gong, Salesforce), seller enablement and other areas that are critical to improving conversion rates. This is a highly strategic and operational, hands-on role: you will be responsible for how leads move through our systems and how we continuously improve workflows to drive pipeline and revenue. Location: New York City office three days a week RESPONSIBILITIES Strategy & Continuous Improvement * Support the development of the global MM demand generation strategy through analysis, experimentation, and structured recommendations. * Propose and run test-and-learn initiatives to improve lead quality, routing, and seller productivity, with clear measurement and readouts. * Identify root causes and opportunities to drive up conversion rates Workflow Automation & Process Reliability * Build and scale automated workflows in partnership with Marketing Ops, Central Ops and Sales (e.g., lead scoring, routing, follow-up cadences) that reduce manual work for sellers and increase speed-to-contact. * Monitor daily system health, troubleshoot issues in SFDC, Gong, and related tools, and ensure high-fidelity data and process reliability. * Act as a first-line problem solver for MM sales managers and reps on lead-flow and tooling issues, turning repeated pain points into scalable process or automation fixes. * Translate qualitative feedback from the field into structured problem statements and prioritized solutions and work with cross functional teams to solve. Outreach & Sequence Optimization * Collaborate with Marketing and acquisition managers to engineer and iterate outreach sequences and playbooks that align to campaigns and MM objectives. * Use Gong and other tooling to track performance, A/B test approaches, and recommend optimizations that improve conversion through the funnel. Tooling, Reporting & Dashboard Ownership * Ability to create reporting and run analyses to identify leads blockers  * Partner with RTech, Central Ops, and Analytics to define requirements for dashboards that give clear visibility into lead volume, quality, conversion, and SLA adherence. Knowledge Sharing * Serve as the subject matter expert on leads flows, automation and tooling.  * Document and socialize best practices and learnings from MM programs, and help “lift and shift” successful motions across regions and segments where appropriate. QUALIFICATIONS Experience: * 5+ years of experience in revenue operations, sales operations, marketing operations, program management, or similar roles, ideally within B2B or ads businesses. * Demonstrated experience owning or operating lead funnel processes (lead routing, scoring, SDR/AE workflows, or marketing automation). Technical & Data Skills: * Hands-on experience with Salesforce (SFDC) and at least one of: Gong, marketing automation platforms, or sales engagement tools. * Strong skills in Excel/Sheets and comfort working with large datasets; experience with SQL. Operational Excellence: * Proven track record of designing, documenting, and improving workflows that increase efficiency and reduce operational risk. Cross-Functional Collaboration: * Experience working across Sales, Marketing, Ops, and Analytics/Engineering teams, with the ability to translate business needs into technical or process requirements. * Strong stakeholder management skills; able to balance global consistency with regional nuances. Problem Solving & Communication: * Structured, analytical thinker who can quickly get to the root cause of operational issues and propose pragmatic solutions. * Excellent written and verbal communication, capable of simplifying complex systems for non-technical audiences. Mindset & Culture Fit: * Comfortable operating in ambiguous, fast-moving environments and shifting between strategy and execution. * Service-oriented and collaborative; energized by enabling others to be more productive. * Growth and experimentation mindset – willing to test, learn, and iterate to find what works best for Reddit’s MM business. Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-Hybrid   Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $154,700—$252,300 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.    This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.   The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * 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. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * 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, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification   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 $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 USD 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.