Lead Practice Manager Jobs

CSQ227R258 As a 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 the 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 specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. 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 custo

CSQ227R258 As a 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 the 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 specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. 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 custo

As the Manager of Model Validation & Verification (VnV) for Behavior Autonomy, you will lead an engineering and data science team responsible for evaluating, benchmarking, and validating the machine learning models and behavioral algorithms that drive our autonomous vehicle (AV) prediction and planning stacks. You will own the statistical frameworks, offline/online evaluation metrics, and validation pipelines that ensure our behavioral models operate safely, comfortably, and predictably. Operating at the intersection of Data Science, Machine Learning, and Safety Engineering, you will partner closely with Autonomy Software, Prediction, Planner, and ML Operations teams to establish data driven release criteria for our AV fleet. In this role, you will: Team Leadership & Execution: Lead, mentor, and scale a high-performing team of Data Scientists, ML Validation Engineers, and Software Engineers while driving roadmaps, sprint execution, resource allocation, and high-throughput model releases with rigorous safety guardrails. Culture of Rigor: Foster a culture of statistical excellence, healthy skepticism, proactive risk tracking, and data-driven decision-making. Validation Strategy & Methodologies: Define and execute end-to-end validation strategies across offline evaluation, open/closed-loop simulation, and shadow-mode fleet benchmarking to ensure robust behavioral model performance. Statistical uncertainties, and regressions into clear, data-driven recommendations for release gating and executive leadership. Metrics, Release Gating & Rigor: Oversee metric development and standardization with System Safety and Autonomy teams, establishing quantitative go/no-go release criteria for Behavioral Planner and Prediction ML models while fostering statistical rigor and proactive risk management. Cross-Functional & Infrastructure Partnership: Partner closely with Planner, Prediction, MLOps

Req ID: FEQ427R18 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streamin

The Position CallRail is seeking a curious, strategic, and results-focused Senior Product Marketing Manager to lead the development and execution of go-to-market strategies for AI-powered products within our SaaS lead tracking, engagement and insights platform. This is a high-impact role for someone who is comfortable navigating shifting priorities, moves quickly from strategy to execution, and is excited to shape how businesses adopt and get value from AI. You will be a key member of the CallRail marketing team and have the opportunity to work on a diverse set of projects, partnering cross-functionally across sales, product management, and marketing. Success in this role requires a deep understanding of your ideal customer, strong instincts for storytelling and differentiation, and a bias toward action and measurement. You will own performance for the areas you support, but your impact goes beyond the numbers. You will be expected to look around corners, identify opportunities and challenges before they become obvious, and push the organization toward better decisions for our customers and our business. The right candidate will be able to cut through complexity, distill what matters most, and turn a high velocity of new capabilities into simple, intuitive stories that help customers and sales understand the value and ultimately drive acquisition and adoption. What You'll Do Own the positioning and messaging for CallRail’s AI products, serving as the expert on our buyers, market, and competitive landscape. Own performance across your portfolio, using acquisition, adoption, conversion, and churn data to identify opportunities and drive results. Recommend pricing and packaging strategies that drive acquisition, product usage, and revenue growth. Stay ahead of AI adoption, buyer trends, and the competitive landscape, proactively identifying opportunities and insights that shape product, go-to-market, and investment decisions. Partner with Product to

The Position CallRail is seeking a curious, strategic, and results-focused Product Marketing Manager to develop and execute go-to-market strategies for AI-powered products within our SaaS lead tracking, engagement, and insights platform. This is a high-impact role for someone who is comfortable navigating shifting priorities, moves quickly from strategy to execution, and is excited to help businesses adopt and get value from AI. You will be a key member of the CallRail marketing team and have the opportunity to work on a diverse set of projects, partnering cross-functionally across sales, product management, and marketing. Success in this role requires a deep understanding of your ideal customer, strong instincts for storytelling and differentiation, and a bias toward action and measurement. You will own performance for the areas you support, but your impact goes beyond the numbers. You will use customer insights, market trends, and data to identify opportunities and improve results. You will be expected to bring forward ideas, insights, and recommendations that push the organization toward better decisions for our customers and our business. The right candidate will be able to cut through complexity, distill what matters most, and turn a high velocity of new capabilities into simple, intuitive stories that help customers and sales understand the value and ultimately drive acquisition and adoption. What You'll Do Own positioning and messaging for the CallRail products you support, grounded in a strong understanding of our buyers, market, and competitive landscape. Track performance across your portfolio, using acquisition, adoption, conversion, and churn data to identify opportunities and recommend actions. Contribute to pricing and packaging strategies that drive acquisition, product usage, and revenue growth. Stay current on AI adoption, buyer trends, and the competitive landscape, surfacing insights that inform product and go-to-market decisions. Pa

Reporting to the VP, Product for Diligent Market Intelligence, you will lead the strategy, roadmap and evolution of Stewardship Intelligence—one of DMI’s core data products. Stewardship Intelligence provides meeting , executive compensation, corporate governance and proxy-voting intelligence to institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers . You will lead both Product Management and Research. This is a domain-led role: substantial experience in stewardship, proxy voting, corporate governance, executive compensation, investor relations or a closely related capital- markets domain is required . You will translate customer and market needs into clear product priorities, improve how research is performed at scale, and ensure that Stewardship Intelligence remains trusted, timely and valuable to its users. Here’s a breakdown of what you’ll do Own and continuously refine the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio, covering meeting , executive compensation, corporate governance and proxy-voting intelligence. Lead, develop and organise the Product Management and Research teams, establishing clear priorities, effective ways of working (with an emphasis on AI integration where possible), strong collaboration and a culture of accountability and continuous improvement. Be responsible for improving dataset coverage, methodology , quality, traceability and timeliness, using appropriate process redesign, automation and AI-enabled approaches without compromising accuracy or trust. Partner closely with Engineering and UX to define, build and launch high-quality product experiences and Data-as-a-Service capabilities that make

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

We’re looking for a Senior Cinematographer to define how Perplexity looks on film. Working with the Creative Director and Video Lead, you’ll translate our visual identity into a practical cinematographic language, then bring it to life across the team’s day-to-day output. This is a hands-on role. One day you’re shooting a candid office moment or executive interview with a small kit; the next, you’re leading a full camera and lighting crew on a brand film. Most of your time goes to prepping, testing, lighting, and shooting. You’ll also help build and run our in-house studio, from selecting gear and designing flexible lighting setups to keeping the space production-ready. When turnaround is tight, you’ll support media management and light editing. You’ll report to the Video Lead and work closely with the Video Producer, Brand Lead, designers, motion designers, Growth, Comms, Product Marketing, and external production partners. The Producer and Video Lead handle crewing, budgets, schedules, and logistics so you can stay focused on production and craft. However, you should think like a storyteller, not just a technician, bringing your own ideas for how to show our product and people more vividly through moodboards, shot lists, storyboards, and a willingness to experiment. What You'll Do Partner with the Creative Director and Video Lead to define and evolve Perplexity’s cinematographic language, and turn it into repeatable approaches for lighting, lensing, composition, movement, and color. Shoot and light a steady mix of day-to-day content: candid office moments, executive interviews, product demos, social, events, and documentary stories. Lead cinematography on brand films, campaigns, partnerships, and launches. Scale to the work: operate solo with a minimal kit, lead a small crew, or help build a full camera, lighting, grip, team (with help from producers). Bring storytelling ideas to the table through moodboards, shot lists, storyboards, and experimentation. Own camer

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Engineering team at Micron is at the forefront of innovation, driving the development and implementation of modern technology. Our collaborative environment cultivates growth and creativity, enabling us to deliver world-class solutions that build the future of information technology. The Operations Equipment Program Manager plays a significant role in our Engineering function. In this role you will partner with high volume manufacturing leadership and equipment teams to ensure flawless tool installations and lead ongoing continuous improvement across all facets of fab tool installations with facilities, construction, suppliers, procurement and global teams to meet installation deliverables. Advancing critical initiatives, you will lead high-impact initiatives by harnessing data insights and emerging AI technologies to optimize business processes, improve efficiency, and deliver strategic value. Responsibilities: Support Equipment Managers and Tool Owners in delivering high-quality tool installations through process qualification ahead of required in-service dates. Drive priority alignment and issue resolution across all organizations involved in tool installation and qualification activities. Routinely audit installation quality, safety, and schedule adherence across all process tool installations. Partner with global teams on installation standardization and improvement projects, and Procurement and Supplier Management teams to proactively identify risks and initiate ea

The CRM Technologies team builds, scales, and operates Salesforce-based solutions that power MongoDB’s customer lifecycle, from marketing engagement and lead management through sales execution, account management, renewals, reporting, and downstream operational workflows. The team partners closely with Marketing, Sales Operations, Revenue Operations, Finance, Customer Success, Data, and Engineering to deliver secure, scalable, and reliable business systems. The team continuously evolves the CRM and marketing technology ecosystem through automation, integrations, data quality improvements, and platform operations. Role Overview We are looking for an Engineer III, Business Systems to design, build, and support the systems and integrations that enable MongoDB’s top-of-funnel and lead-to-revenue processes. This individual contributor role will focus on marketing technology, lead lifecycle management, enrichment, campaign operations, account and territory management, activity management, outreach, annual planning, and inbound and outbound integrations. You will translate business requirements into scalable technical solutions using Salesforce, marketing automation platforms, integration tools, APIs, and data services. You will own delivery across the full solution lifecycle, including requirements analysis, solution design, development, testing, deployment, documentation, monitoring, and production support. You will also contribute to engineering standards, platform governance, data quality, and continuous improvement across the GTM Technology ecosystem. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What You’ll Do Design, build, and support solutions for top-of-funnel and marketing operations processes Develop and enhance lead capture, lead conversion, routing, qualification, scoring, and lifecycle management capabilities Administer and integrate marketing and enrichment platforms such as FCI, LeanData, Ortoo, and related G

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are seeking a hands-on Engineering Manager to lead our Frontier AI Infrastructure team within Public Sector Engineering. This is a 50/50 role : you'll spend roughly half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers. Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You'll lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and debug platform issues, and you'll partner upstream with Product to catch issues before they break, moving the team from "infra-only debugging" to proactive integration testing. You will: As a manager - 50/50 management and hands on coding experience. Lead, coach, and grow a team of engineers — own hiring, onboarding, performance, and career development. Set technical direction and quarterly priorities for the inference layer, and hold the team accountable to delivery on customer and contract commitments. Run the operational rhythm of the team: sprint planning, on-call rotation, incident review, and postmortems. Partner with Product, Program, and Deployed Engineering leadership to translate customer and mission requirements into roadmap. Represent the team in customer engagements and vendor escalations, including with government stakeholders. Design and implement secure, scalable backend systems for Public Sector customers, leveraging Scale's modern cloud-native AI infrastructure. Own services and systems alongside your team, define their long-term health goals, and improve the health of surrounding components. Stay in the code: review PRs, debug production issues, and take on meaningful technical wor

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 6+ years of engineering or technical deployment experience that includes customer-facing work Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers Have scoped and delivered complex systems in fast-moving or ambiguous enviro