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Technical Account Manager

Snowplow

London

Hybrid

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

Join a leading company in customer data infrastructure as a Technical Account Manager. This role involves working closely with clients to enhance their data solutions, requiring a blend of technical expertise and customer-facing skills. Ideal candidates will thrive in dynamic environments and possess strong analytical skills. Enjoy a competitive package, flexible working options, and a commitment to diversity and inclusion.

Benefits

Competitive salary with share options
Flexible working hours
Generous holiday allowance
MacBook and home office equipment allowance
Enhanced parental leave

Qualifications

  • Solid understanding of cloud infrastructure and data technologies.
  • Experience as an analyst, data engineer, or similar roles.
  • Proficiency in SQL and data modeling.

Responsibilities

  • Support and consult with customers to deliver solutions.
  • Resolve technical challenges with Snowplow solutions.
  • Educate customers through tailored workshops.

Skills

Data analysis
Complex problem-solving
Technical expertise
Consultative support

Education

Degree in Data Science or related field
SQL proficiency

Job description

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About Snowplow

Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents.

London - Hybrid or UK - Remote

About Snowplow

Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents.

Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications.

Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time.

The Opportunity

The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow.

We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes.

We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases.

What you'll be doing:

  • Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations
  • Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems
  • Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more
  • Educate and enable our customers through tailored workshops and advisory sessions
  • Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams
  • Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences
  • Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products
  • Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members


We’d Love to Hear From You If Have:

  • A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack
  • Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist
  • SQL and data modelling experience, and proficiency at manipulating data
  • Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead)
  • Previous experience of using Snowplow, (either BDP or open source) is ideal but not required


What We Offer You in Return:

A competitive package, including share options

Flexible working

A generous holiday allowance no matter where you are in the world

MacBook and home office equipment allowance

Enhanced maternity, paternity, shared parental and adoption leave

Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Sales and Business Development
  • Industries
    Data Infrastructure and Analytics

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