▷ Urgent! Snr Technical Program Manager, Prime VideoEntitlement Experience

ENGINEERINGUK
London
9 months ago
Applications closed

Snr Technical Program Manager, Prime Video EntitlementExperience DESCRIPTION Come build the future of entertainment withus. Are you interested in shaping the future of movies andtelevision? Do you want to define the next generation of how andwhat Amazon customers are watching? Prime Video is a premiumstreaming service that offers customers a vast collection of TVshows and movies - all with the ease of finding what they love towatch in one place. We offer customers thousands of popular moviesand TV shows including Amazon Originals and exclusive licensedcontent to exciting live sports events. Prime Video is afast-paced, growth business - available in over 200 countries andterritories worldwide. The team works in a dynamic environmentwhere innovating on behalf of our customers is at the heart ofeverything we do. If this sounds exciting to you, please read on.The PV Entitlement Experience team is seeking a Senior TechnicalProgram Manager to lead transformational initiatives which enablePV to further grow the offer selection for customersinternationally, as well as innovate in both the customer sign-upand retention journeys. Key job responsibilities 1. Defining andleading program management mechanisms for key engineeringinitiatives, which typically involve multiple stakeholders acrossengineering, product and UX. 2. Owning tech initiatives which areambiguous and bringing clarity to systems improvements as well asdriving alignment across engineering and product for delivery. 3.Owning key engineering goals for PV entitlement experience and thewider Subscriptions Tech organisation - be they improving the userexperience, enabling PV to go faster in launching new capabilities,or driving improvements to availability and resiliency for PVsEntitlement Experience services. 4. Partnering with multiple crossfunctional organisations within Prime Video, from Prime, Channels,Transactional VOD, Advertising, Live Sports and PV International. Aday in the life 1. Leading Critical Project Reviews (CPRs) for PVentitlement experience and Commerce Tech goals, together withengineering, product, UX and business stakeholders. 2. Periodicallyleading and driving roadmap reviews with engineering and productpeers. 3. Authoring 2 or 6 pagers to drive engineeringtransformation across PV Entitlement Experience. 4. Updating,reviewing and auditing goals that you own as well as those of yourpeers. 5. Driving availability and infrastructure campaigns for PVEntitlement Experience. 6. Participating in roadmap planning (12months and 3YP). About the team The PV Entitlement Experienceorganisation owns the customer journey and web services from thepoint of purchase in Prime Video, through to sign-up, checkout andcompletion. The team is structured into 3 programs, Entitlements,Offers (ensuring we present the best offer for a customer), andCheckout (allowing customers to sign-up and transact). All 3engineering teams are located in London, but we have partner teamsin Bangalore and Seattle. The Senior TPM will work across multipleinitiatives in this domain. We are evolving both the capabilitiesthat allow Prime Video to support multiple offer types and bundles,investing in machine learning to help identify the best offer, aswell as improving the customer journey to allow customers quicklyaccess their content. BASIC QUALIFICATIONS 1. Experience managingprograms across cross functional teams, building processes andcoordinating release schedules. 2. Experience in technical programmanagement working directly with software engineering teams. 3.Experience developing and executing/delivering product andtechnical roadmaps. 4. Experience managing technical programsacross cross-functional teams, building processes and coordinatingrelease schedules. PREFERRED QUALIFICATIONS 1. Experience managingprojects across cross functional teams, building sustainableprocesses and coordinating release schedules. 2. Experiencedefining KPI's/SLA's used to drive multi-million dollar businessesand reporting to senior leadership. Amazon is an equalopportunities employer. We believe passionately that employing adiverse workforce is central to our success. We make recruitingdecisions based on your experience and skills. We value yourpassion to discover, invent, simplify and build. Protecting yourprivacy and the security of your data is a longstanding toppriority for Amazon. Please consult our Privacy Notice(https://www.amazon.jobs/en/privacy_page) to know more about how wecollect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon isan equal opportunity employer and does not discriminate on thebasis of race, national origin, gender, gender identity, sexualorientation, protected veteran status, disability, age, or otherlegally protected status. Our inclusive culture empowers Amazoniansto deliver the best results for our customers.#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.