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Senior Product Manager - Enterprise Engineering
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Enterprise Engineering builds integrated, scalable platforms that power Roku’s core Finance, Accounting, Payments, Supply Chain, and HR processes. We use API-first, data-driven, and increasingly AI-enabled designs to automate complex workflows, improve control and compliance, and reduce manual work for our partners.
About the Role
We’re hiring a Senior Product Manager to lead finance and payouts platforms within Enterprise Engineering, with a strong focus on AI-driven automation. You will own products that support order-to-cash, revenue accounting, financial close, reconciliations, and partner payouts, working across Controllership, FP&A, Tax, Treasury, Payments, Ads Revenue Operations, and Business Systems.
You’ll define the vision, roadmap, and execution for capabilities that combine robust finance controls with modern engineering and AI - e.g., ML-assisted reconciliations, anomaly detection, intelligent exception routing, and Gen-AI powered tools for finance users. This is a high-impact senior IC role; you will regularly influence senior stakeholders across regions, while partnering closely with engineering leads and architects.
What You’ll Be Doing
- Own strategy & roadmap for finance and payouts platforms, including AI-enabled capabilities (classification, matching, forecasting, GenAI assistants)
- Deep-dive workflows across revenue, close, reconciliations, payouts and compliance; map pain points and define automation opportunities
- Write clear, structured product requirements (data contracts, controls, SLAs, UX) that Engineering and Finance can execute on
- Partner daily with engineering and architecture to make pragmatic design tradeoffs on platforms, integrations, and AI usage
- Define and track success metrics (automation %, cycle time, error rates, payout and reconciliation accuracy), and iterate based on results
- Drive change management: clear comms, training, and adoption plans for new platform and AI features
- Keep a close pulse on team and stakeholder “vibe” – building trust, surfacing risks early, and fostering a low-ego, high-ownership way of working
We’re Excited If You Have
- 8+ years of product management, including substantial time on internal platforms or business systems
- Strong experience in Finance/Accounting technology (e.g., ERP, revenue systems, sub-ledger / journal automation, reconciliations, payouts)
- Demonstrated ability to translate complex accounting and regulatory requirements into scalable product designs
- Hands-on experience with AI / ML or intelligent automation in business processes (e.g., matching, anomaly detection, NLP/GenAI assistants, rules + ML hybrids)
- Strong systems thinking: comfortable with APIs, data models, integrations, monitoring and controls
- Excellent written and verbal communication; able to tell a crisp story to executives, Finance stakeholders, and engineers
- Proven track record working effectively across time zones and cultures, maintaining a healthy and productive team “vibe”
- Experience in media, advertising, or digital platforms with complex revenue and payout models
- Background in Finance/Accounting (e.g., CPA, Chartered Accountant, or MBA with finance emphasis)
#LI-AB3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.
Your Impact
- Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
- Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation
- Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
- Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
- Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
- Optimize model inference pipelines for performance, cost, and scalability in production environments
- Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
- Collaborate with data scientists to productionize ML models and forecasting algorithms
- Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
- Participate in code reviews, technical design discussions, and knowledge-sharing sessions
- Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption
Your Qualifications
- Software engineering experience with a focus on ML/AI systems
- Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
- Experience building and deploying LLM-powered applications in production
- Proficiency in front-end development with React, TypeScript, and modern web technologies
- Understanding of RESTful API design, microservices architecture, and cloud infrastructure
- Experience with prompt engineering, RAG systems
- Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Excellent problem-solving skills and attention to detail
- Bachelor's degree in computer science, Machine Learning, or related field
Preferred Qualifications
- Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, Ray)
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
- Experience with model observability tools (LangSmith, W&B, MLflow)
What Makes This Role Exciting
- Lead a greenfield team building transformative AI capabilities from the ground up
- Work on cutting-edge conversational and agentic AI technologies
- Build user-facing AI features that directly impact how businesses plan and make decisions
- Experiment with the latest GenAI models and techniques
- Collaborate with talented engineers, data scientists, and product designers
- Solve unique challenges at the intersection of AI and enterprise software
- Grow your skills in both ML engineering and full-stack development
#LI-SP1
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.
This role is flexible in scope, and we welcome candidates at all experience levels. This role is a hybrid position and will require you to be in our Manchester office twice a week.
Your Impact
- Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
- Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation
- Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
- Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
- Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
- Optimize model inference pipelines for performance, cost, and scalability in production environments
- Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
- Collaborate with data scientists to productionize ML models and forecasting algorithms
- Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
- Participate in code reviews, technical design discussions, and knowledge-sharing sessions
- Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption
Your Qualifications
- Software engineering experience with a focus on ML/AI systems
- Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
- Experience building and deploying LLM-powered applications in production
- Proficiency in front-end development with React, TypeScript, and modern web technologies
- Understanding of RESTful API design, microservices architecture, and cloud infrastructure
- Experience with prompt engineering, RAG systems
- Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Excellent problem-solving skills and attention to detail
- Bachelor's degree in computer science, Machine Learning, or related field
Preferred Qualifications
- Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, Ray)
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
- Experience with model observability tools (LangSmith, W&B, MLflow)
What Makes This Role Exciting
- Lead a greenfield team building transformative AI capabilities from the ground up
- Work on cutting-edge conversational and agentic AI technologies
- Build user-facing AI features that directly impact how businesses plan and make decisions
- Experiment with the latest GenAI models and techniques
- Collaborate with talented engineers, data scientists, and product designers
- Solve unique challenges at the intersection of AI and enterprise software
- Grow your skills in both ML engineering and full-stack development
#LI-SP1
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplandunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.
Joining our team, you’ll work with world class and passionate people to apply statistical techniques and marketing science to business problems, especially demand forecasting, clustering, and measurement. You’ll support Price and Promotion experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You will also develop innovative solutions for product support and insight using generative AI. You’ll create dunnhumby science solutions that can be delivered across our client and engineered into science modules. You’ll have the opportunity to present results to a variety of internal stakeholders.
What you'll be doing:
- Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
- Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
- Perform exploratory data analysis to characterise and visualise datasets
- Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
- Help identify new opportunities within the Data Science space for future dunnhumby solutions.
- Implement advice from colleagues to resolve challenges.
- Follow Quality Assurance processes, ways of working and meet coding standards.
- Ensure smooth running of your projects, working with senior team members for direction.
- Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.
Who you’ll get to work with:
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams where required
What we expect from you:
- Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
- Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
- Experience with Python programming, and handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
- Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
- A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.
A plus if you also have:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
- Experience in retail sector.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby