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2,737

Product Management jobs in Germany

Solution Engineer (EMEA)

Sigma Computing

London
On-site
GBP 45,000 - 70,000
30+ days ago
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Senior Electrical Engineer

Aggreko

Dumbarton
On-site
GBP 40,000 - 70,000
30+ days ago

Product Manager — Climate Data & AI, Equity

Bright Purple

City Of London
Hybrid
GBP 60,000 - 80,000
30 days ago

Automotive Aftermarket Product Lead - Drive Growth

Glen Callum Associates Ltd

St Albans
On-site
GBP 60,000 - 80,000
30 days ago

Europe Driveline Product Manager

Lubrizol

Wolverhampton
On-site
GBP 50,000 - 70,000
30+ days ago
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Automotive Aftermarket Product Lead - Drive Growth

Glen Callum Associates Ltd

Luton
On-site
GBP 60,000 - 80,000
30+ days ago

Product Manager, Business Messaging & CPaaS

Viber

City Of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Global Product Manager: Lead Roadmaps & Growth

Sepura

Cambridge
On-site
GBP 55,000 - 75,000
30+ days ago
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Senior Product Manager — Remote AI-Driven Research Platform

Maze

United Kingdom
Remote
GBP 70,000 - 90,000
30+ days ago

Staff Product Manager - AI-Driven Research Platform (Remote)

Maze

United Kingdom
Remote
GBP 70,000 - 90,000
30+ days ago

Product Director - Strategy, UX & Growth (Remote)

BaseKit | B Corp™

Bristol
On-site
GBP 70,000 - 90,000
30+ days ago

Digital Product Lead - Financial Crimes & KYC/AML

American Express

Brighton
On-site
GBP 60,000 - 80,000
30+ days ago

Director of Global Payroll Product - Remote

Remote

United Kingdom
Remote
GBP 137,000 - 156,000
30+ days ago

Staff Technical Writer

Webflow

United Kingdom
Remote
GBP 130,000 - 185,000
30+ days ago

VP, GenAI-Driven Digital Markets & Sales Products

J.P. Morgan

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Senior Software Engineer II

Samsara

United Kingdom
On-site
GBP 70,000 - 100,000
30+ days ago

Head of Link Product Strategy | Fintech Growth Leader

Codat

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Senior Product Manager - Gaming (Hybrid: London/Remote)

Gram Games

City Of London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Payments Product Leader: Strategy, Launch & Growth

JPMorganChase

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Securities Services - AI/ML Product Manager - Vice President

JPMorganChase

City Of London
On-site
GBP 100,000 - 150,000
30+ days ago

Business Development Manager

Johnson Controls

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Senior Product Leader, Public Sector – AI & Partnerships

NightDragon Acquisition Corp.

United Kingdom
Hybrid
GBP 70,000 - 90,000
30+ days ago

Senior PMM: Developer Experience for Open-Source Growth

Aiven

City Of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

Senior Product Manager — Cloud SaaS & Customer Impact

JAM IT Consultancy Ltd

England
On-site
GBP 70,000 - 90,000
30+ days ago

Security Operations Manager (SOC)

JAM IT Consultancy Ltd

England
On-site
GBP 70,000 - 90,000
30+ days ago

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Solution Engineer (EMEA)
Sigma Computing
London
On-site
GBP 45,000 - 70,000
Full time
30+ days ago

Job summary

A leading analytics company in London is looking for a Solutions Engineer to drive customer success through analytics and business intelligence solutions. The role involves managing presales activities, presenting customized demos, and engaging with clients to understand their business needs. A Bachelor's degree in a technical field and experience in analytics or sales engineering are required. The company offers flexible time off and a dog-friendly office.

Benefits

Equity
Flexible time off policy
Paid bonding time for new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Qualifications

  • Experience with analytics or business intelligence.
  • Strong understanding of database concepts.
  • Proven organizational skills in a fast-paced environment.

Responsibilities

  • Understand and uncover customer business challenges.
  • Build and present customized demos for customers.
  • Manage multiple customer engagements concurrently.

Skills

Analytics experience
Business intelligence knowledge
Sales engineering experience
Organizational skills
Presentation skills

Education

Bachelor’s degree in technical/analytics field

Tools

Snowflake
Redshift
BigQuery
Job description

The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts.

What You Will Be Doing

  • Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops
  • Engage with business users to define, create, and showcase solution prototypes
  • Build and present customized demos for customers, trade shows, and webinars
  • Confidently present and articulate the business value of the Sigma platform to all levels within an organization
  • Deliver product, technical, and security related responses to RFPs/RFIs
  • Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
  • Work as a team player by contributing, learning, and sharing new knowledge
  • Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma
  • Manage multiple customer engagements concurrently
  • Attain quarterly and annual objectives assigned by management
  • Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise

Qualifications We Need

  • Experience with analytics, business intelligence, or sales engineering experience
  • Strong understanding of database concepts
  • Understanding of advanced spreadsheet concepts
  • Cloud data warehouse experience - Snowflake, Redshift, BigQuery
  • Excellent organizational skills and ability to multitask in a fast-paced startup environment
  • Experience implementing production business intelligence solutions or proof of concepts
  • Bachelor’s degree in technical/analytics field or equivalent technical & business experience
  • 10% Travel some day!

Qualifications We Want (also, skills you’ll learn!)

  • Experience at a SaaS company or with cloud architectures
  • Experience with data analytics business use cases
  • Startup experience
  • ETL experience - Fivetran, Matillion or traditional ETL
About us:

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Benefits For Our Full-Time Employees:
  • Equity
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

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When you submit a job application on this site, Sigma collects and processes your personal data for its recruitment needs, like arranging interviews, evaluating candidates, assessing results and as is otherwise needed throughout the recruiting process. Sigma is legally permissible to do so under Art. 6(1)(f) of Regulation (EU) 2016/679 (GDPR), citing it as necessary for their interests in hiring. Sigma may share your data with Greenhouse Software in the US, which is used to manage its recruitment and hiring process. If you're outside the US, your data might be transferred to the US once you submit it through this site and such transfer will be subject to appropriate safeguards under standard contractual clauses adhering to EU-approved safeguards. Sigma keeps your data as long as needed for job evaluation. You can exercise your privacy rights by contacting privacy@sigmacomputing.com or by submitting a request through this web portal . For more details, check the Privacy Policy .

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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