Product Program Management Manager Jobs

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you! At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers Continually learn new technology to build competitive knowledge, technical skill, and credibility Deliver product and technical presentations with potential clients Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks. Think creatively about a wide variety of technical challenges during the pre-sales life cycle Who You Are: Knowledgeable and experienced with DevOps monitoring or architecture tools. Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams Able to think creatively about a wide variety of challenges. You're going to find new things every day Previously experienced in systems administrations: Windows or Linux Able to sit up to 4 hours, traveling to and from client sites Able to travel via auto, train or air up to 25% of the time Datadog values people from all walks of life. We understand not everyone

About the Role Together AI is looking for a Commercial Counsel to support the deals that drive our growth. You’ll work alongside the Sales, Partnerships, Finance, Product, and Security teams as the legal partner who helps each of them move quickly while keeping risk in view. What we sell sits at the core of our customers’ own products, so our commercial deals call for a real understanding of how the technology works. The terms we agree to with customers and partners shape our relationships and our business for years. This role suits a lawyer who wants to be a true business partner to a fast-moving sales organization, rather than working within a narrow contracts lane. Responsibilities Sales Serve as the legal point of contact for Sales across enterprise customer deals, managing commercial agreements including master agreements, order forms, data processing terms, security exhibits, and NDAs. Negotiate customer contracts end to end, partnering closely with Sales, Security, Product, and Finance to resolve issues quickly and keep deals moving through the pipeline. Advise Sales on risk, contract positions, and fallback terms, and manage escalations on non-standard requests such as custom SLAs, data protection obligations, and liability and indemnity terms. Build the templates, playbooks, and scalable workflows that make Sales deals repeatable, including standard forms, negotiation playbooks, and clear escalation paths. Partnerships Structure and negotiate go-to-market and partnership deals, including collaboration, reseller, licensing, and co-sell arrangements. Work with Sales, Partnerships, and Product to align partner terms with business goals, customer commitments, and company risk posture. Develop standard partnership templates and default negotiating positions so routine partner deals can move quickly and consistently. Requirements A JD and an active bar license in good standing At least 5 years in commercial and technology transactions, including substantial in-ho

About the Role Together AI is looking for a Commercial Counsel to support the deals that drive our growth. You’ll work alongside the Sales, Partnerships, Finance, Product, and Security teams as the legal partner who helps each of them move quickly while keeping risk in view. What we sell sits at the core of our customers’ own products, so our commercial deals call for a real understanding of how the technology works. The terms we agree to with customers and partners shape our relationships and our business for years. This role suits a lawyer who wants to be a true business partner to a fast-moving sales organization, rather than working within a narrow contracts lane. Responsibilities Sales Serve as the legal point of contact for Sales across enterprise customer deals, managing commercial agreements including master agreements, order forms, data processing terms, security exhibits, and NDAs. Negotiate customer contracts end to end, partnering closely with Sales, Security, Product, and Finance to resolve issues quickly and keep deals moving through the pipeline. Advise Sales on risk, contract positions, and fallback terms, and manage escalations on non-standard requests such as custom SLAs, data protection obligations, and liability and indemnity terms. Build the templates, playbooks, and scalable workflows that make Sales deals repeatable, including standard forms, negotiation playbooks, and clear escalation paths. Partnerships Structure and negotiate go-to-market and partnership deals, including collaboration, reseller, licensing, and co-sell arrangements. Work with Sales, Partnerships, and Product to align partner terms with business goals, customer commitments, and company risk posture. Develop standard partnership templates and default negotiating positions so routine partner deals can move quickly and consistently. Requirements A JD and an active bar license in good standing At least 5 years in commercial and technology transactions, including substantial in-ho

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team: Plaid is becoming an AI-first company, and AI Tooling is being built from the ground up to extend AI-native tooling to non-engineers at Plaid. Tools built for engineers assume things non-engineers don't have: local toolchains, monorepos, engineer credentials, PR-based workflows. That mismatch means Ops, Support, and other teams can't easily inherit what we build for engineering. They need their own path and we're building that path. Role: As a Senior Software Engineer on AI Tooling, you will build and operate internal systems that empower non engineering teams to automate their workflows with AI. You will own the product and platform layer for internal tools, including the constraints and infrastructure that keep those tools safe and maintainable. There's no existing playbook for this at Plaid. You will define what the right non-eng AI surface looks like, ship its first durable versions, and partner closely with internal users to make sure it solves real problems. You will act as the engineering point of contact embedded with non-engineering teams, running discovery and translating their operational needs into shipped software. What you build here becomes how non-engineering

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail in LATAM to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Account Associates sit at the front of this motion—where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future enterprise sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams based in LATAM. This role is based in San Francisco. We use a hybrid work model of 3 days in the offi

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Location: Bengaluru, India (Hybrid: 3 days a week in office) Vacancies: Multiple Openings Start Date: 1st September 2026 (Mandatory joining date) At Bazaarvoice, we manage billions of customer reviews, photos, and questions for over 6,000 of the world’s biggest brands. We are the ultimate gatekeepers of trust online. As we rapidly expand our global Trust & Safety Team, we are looking for sharp, detail-oriented Content Moderation Analysts to join our Bengaluru office. This is a high-impact role focused on protecting brand reputation and maintaining internet safety. If you have

About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. Develop scalable backend systems that power personalized, real-time product experiences. Work with multimodal capabilities including text, images, and interactive UI components. Iterate quickly using user feedback, experimentation, and product metrics. Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You Have significant experience building consumer-facin

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role We are looking for a senior, high-agency Account Associate to help build and scale our Japan Strategic & Large Enterprise, DNB and Startup motion. This person should be able to create pipeline through thoughtful outbound, strong discovery, disciplined follow-up, and clear stakeholder mapping. This is not a junior execution role. It is a front-line role for someone who can help shape the motion while working closely with Account Directors, technical teams, and HQ. At the same time, this role is designed as a launchpad for future sellers at OpenAI. It’s a highly strategic position with meaningful exposure to enterprise sales, product, and customer strategy. You’ll build core skills in discovery, stakeholder mapping, deal shaping, and executive communication, while developing a deep understanding of how leading companies adopt AI. Recommended Seniority 7-10 years of total work experience 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AE, or similar GTM roles Some closing or full-cycle sales experience is strongly preferred We’re looking for individuals with 6+ years of total work experience who are motivated to grow into world-class enterprise sellers over time. Many people in this role go on to become Account Directors or take on broader GTM roles, but progression is based on performance and business needs

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

Talent Acquisition is dedicated to ensuring that teams at Asana have the people they need to achieve their goals. As a product-driven organization, we hire the people who build Asana, the people who support our users, and the people who tell our story in the market. All human progress comes down to teamwork—and we work with the entire company to enable teamwork by building our own team. We work as a team to get to know the whole person, to communicate our values, and to ensure that candidates are well-informed and delighted throughout the process. Recruiting is a company-wide effort and responsibility and we encourage all Asanas to adopt the motto “Always Be Recruiting.” As the Head of Technical Recruiting, you will lead a team of seasoned talent acquisition professionals to support R&D hiring at Asana. You will be responsible for driving operational excellence within the Talent Acquisition team to enable the timely delivery of business objectives through high quality hiring. This role will also closely partner with R&D Leadership, People Team leadership, Finance, and the rest of talent acquisition leadership in defining and developing world-class assessment, reporting, and talent engagement strategies. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Build a global hiring strategy to help us scale our R&D teams. Partner closely with executive leadership and People Team leaders to understand business priorities & objectives; help build a high-impact, max-velocity global hiring strategy that addresses key gaps between the talent in place today and the talent require

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning FinCrime Team: Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying. Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and op

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Search Team We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals. Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them. Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you’ll be working on: A

A key position within the WS Hardgoods team responsible for leading revenue growth and driving sell-through improvement for assigned accounts. This role creates sustainable growth by developing and executing account strategies, as well as driving VMD, inventory management, and product merchandising initiatives. Essential Functions and Key Responsibilities: Develop account-specific business plans by setting sell-through and sell-in targets for assigned accounts, and drive alignment and execution in collaboration with key customers. Drive in-store merchandising proposals and improvements, maximizing visibility and brand exposure through SIS installations and space expansion, while delivering clear differentiation from competitors. &#34;Annual terms negotiation (including pricing and trade conditions): Negotiate key commercial terms such as pricing, promotional support, and rebates, and finalize annual agreements while ensuring profitability.&#34; &#34;Demand Planning, Sell-through, and Inventory Management: <