Technical Product Manager

Smarsh
London
1 year ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist

Sr Product Manager, Data Science

AI Product Manager - Data Science

On Machine Learning Engineering Manager

Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Senior MLOPs Engineer

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary

In this role, you will work within the Smarsh Cognition team to define, execute, and deliver a product roadmap that adds value to our customers. The Smarsh Cognition product is a foundational component to the Smarsh Platform, enabling various Smarsh products with machine learning and artificial intelligence functionality as a highly resilient and cost-effective service. You will participate in developing the strategy and vision for the team, and you will develop and maintain product roadmaps and features based on team strategy and vision. This role is inherently cross-functional -- you will work closely with engineering, design, operations, finance, and executive teams to bring a consumer product to the market. A successful candidate will be highly analytical, able to work extremely effectively in a start-up like environment, and adept at synthesizing a variety of technologies and capabilities into high quality products and applications that customers love.

How will you contribute?

  • Develop product strategy vision and roadmaps, and developing short, medium, and long-term features to achieve the vision – done in partnership with outbound Product Managers.
  • Gather product input and feedback from internal and external stakeholders and consumers to inform the backlog.
  • Create buy-in for the product vision, both internally and with key external partners.
  • Develop detailed, crisp business (functional & non-functional) requirements and user stories that can be used to create product specifications and architecture for each product and application.
  • Manage and track the creation of all artefacts (wireframes, high-fidelity mock-ups, FAQs, operational cost estimates, etc.) required for the product team to be empowered for delivery.
  • Develop user experience goals, stories, and requirements that will be used to drive product specifications.
  • Manage engineering teams to deliver product to market.
  • Own capacity planning and partner with product organization and sales organization to determine priorities of backlog based on capacity, feasibility, and market importance.
  • Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals.
  • Proactively identify collisions of capacity and utilize stand prioritization matrices to determine the best course of action.
  • Work with team leadership to understand the customer and their needs and concerns, as well as define solutions.
  • Work with engineering team to operate in Dual-Track Agile methodology of discovery and delivery.
  • Own and run backlog refinement, sprint planning, demos, and retro ceremonies.
  • Manage the creation of all technical documentation to be used internally and externally for features your product teams deliver.
  • Champion and gain buy-in for the strategy and roadmap from partner teams through collaboration, documentation, and negotiation that effectively influences peers and senior management.

What will you bring?

  • Product Management experience; Bachelor’s degree in computer science, engineering, business, design or related field; or equivalent work experience.
  • Experience building, supporting, and managing products with AI/ML components at enterprise scale.
  • Experience with AWS’ services, architectures, and pricing models.
  • Experience working cross functionally (design, engineering, product, support, sales).
  • Analytical and quantitative skills; experience using hard data and metrics to back up assumptions and develop business cases.
  • Experience working with diverse groups of people to manage and influence change without direct management line authority.
  • Broad technical breadth and depth, including familiarity with web services, and platform architectures.
  • Preferred Qualifications
  • Experience building API-first services to that are consumed internally and externally by a multitude of customers.
  • AWS Architecture certifications desired.
  • Strong verbal and written communication skills with demonstrated experience engaging and influencing senior executives.
  • High attention to detail including precise and effective customer communications and proven ability to manage multiple, competing priorities simultaneously.
  • Ability to think strategically and execute methodically. Ability to work in a fast-paced environment where continuous innovation is desired.

What do we offer?

  • We value our people and offer a competitive salary along with company bonus
  • Strong maternity and paternity scheme
  • A workplace pension scheme
  • Take what you need holiday package
  • Private medical insurance
  • Dental plan
  • Group life assurance
  • Group income protection
  • Employee assistance programme
  • A monthly wellness allowance
  • Adoption assistance
  • Stock options

Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified, interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

#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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.