Senior Data Product Manager, Dealfront
Company and Contact Data - AI/ML Focus
Go-to-market platform
Open for applications
Go-to-market platform
101-200 employees
Open for applications
101-200 employees
Company mission
To grow businesses' revenue to its fullest with GDPR-compliant B2B data.
Role
Who you are
- At least 3-5 years of experience in product management
- Demonstrated expertise in Product Management, including experience with data quality improvement, ensuring data accuracy, consistency, and reliability
- Strong analytical skills, with a history of leveraging data to inform product decisions and improve performance
- Experience with data governance and quality frameworks in support of AI product development
- Excellent communication skills, capable of working with diverse teams and stakeholders
- Experience with Generative AI technologies is highly desirable
- Technical Proficiency: working knowledge of Python, SQL, and advanced data visualization tools required. Demonstrated ability to enhance data quality within AI-driven projects. A relevant degree (e.g., Computer Science, Data Science) is a plus but not mandatory
- Strategic Vision: Exceptional strategic thinking with the capability to navigate AI product development complexities and market introductions. Experience in embedding data quality into product strategies
- Leadership in Innovation: Knowledge in best practices for data quality and governance within AI projects
- Adaptability to Change: Agile and adaptable in the fast-evolving AI landscape. Committed to continuous learning and staying updated with the latest AI and GenAI trends
What the job involves
- Dealfront is seeking a Product Manager to work with our Data Science team on strengthening our offering
- This role involves managing and innovating with an expansive dataset, including over 40 million companies and 200 million contacts
- As part of your role, you will work on our AI strategy, utilizing the latest in machine learning, natural language processing, and data analytics to deliver insightful and effective solutions
- The goal is to turn complex data into actionable insights that propel our clients towards success
- As a Product Manager, you will conceptualize strategic visions and execute them meticulously
- You will collaborate with data scientists, engineers, other product managers and marketing teams to ensure our data products are successfully brought to market and exceed our clients' expectations
- This position is suited for individuals who are not only challenged by complex problems but are also keen on applying AI to address real-world issues
- Your contributions will be pivotal in driving the future direction of business interactions with data, fostering strategic decision-making, and securing competitive advantages
- If leading AI product development and introducing innovative solutions excites you, we invite you to join our team
- Data Product Development: Lead the conception, design, and development of innovative data products, focusing on AI and GenAI applications to address complex challenges and deliver significant user value
- AI Integration & Strategy: Utilize AI technologies, including NLP, NLU, machine learning, and GenAI, to elevate our product offerings. Keep abreast of AI trends and regulatory requirements to ensure our products are innovative and compliant
- Change Management: Direct change initiatives to integrate new data technologies and methodologies, enhancing our AI capabilities and optimizing data assets for maximum effectiveness
- Stakeholder Engagement: Collaborate with internal and external stakeholders to align product visions with business objectives. Promote a culture of data-driven decision-making across the organization
- Cross-functional Collaboration: Partner with engineering, analytics, sales, and marketing teams to ensure seamless product development and successful market launches
Our take
Oftentimes, sales and marketing teams operate separately instead of in tandem. For instance, the marketing department might deploy digital marketing strategies to drive traffic to the company's website, using marketing funnels to convert them into leads, while the sales department cold-contacts people - an expensive and ineffective process that Dealfront aims to update.
The company, formed from the 2022 merger of Echobot and Leadfeeder, provides a go-to-market platform that bridges the gap between marketing analytics and sales. With Dealfront, businesses can focus their efforts on the highest-value customers (companies actively searching or in need of their solutions), reducing time lost pursuing leads that do not convert to sales.
Post-merger, the company has raised substantial funding that will be invested in international expansion and hiring new talent, with the rebranded Dealfront name already serving upwards of 8000 clients. Operating in a strong market that is expected to surpass $9.5bn by 2028, Dealfront is well-positioned to meet, and possibly exceed, its growth plans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
88% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2019
$3.7m
SERIES A
Jun 2017
$0.9m
SEED
Total funding: $5.3m
Company benefits
- The opportunity to work remotely, with a flexible work schedule
- Mental Health support with Auntie
- Annual company retreats in sunny locations and team off-sites
Company HQ
Oststadt, Karlsruhe, Germany
Leadership
Bastian Karweg
(Founder & Board Member)Founded Echobot in 2011 as CEO. Has also founded several other companies, serving in many of them as CEO.
Herkko Kiljunen
(CTO)Co-founded Leadfeeder in 2012 as CTO. Has a background in Software Design.
Pekka Koskinen
(Chief Growth Officer)Co-founded Leadfeeder in 2012, where they served as CEO. Also co-founded Fraktio and Cluby, among others.
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