Customer Solutions Manager

ABOUT DATAVATIONS

Datavations is a New York-based data and AI software company specializing in the $2.3 trillion building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better serve customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses unlock intelligence and make data-driven decisions to optimize pricing, inventory, and product assortment.

ABOUT THE ROLE

We are looking for a Customer Solutions Manager who sits at the intersection of client consultation, analytics fluency, and creative problem-solving. This role is not about ticket queues or reactive support. You will enrich client relationships end to end-driving adoption, demonstrating ROI, identifying growth opportunities, and serving as the strategic advisor manufacturers rely on to get more out of their data.

You will work alongside a team of CSMs and a data science lead, reporting to the Head of Customer Success & Data Science. You will need to be equally comfortable building a compelling QBR narrative as you are digging into data to surface an insight a client didn't know they needed.

WHAT YOU WILL DO

• Own client relationships: Serve as the primary strategic partner for a portfolio of building materials and DIY manufacturers. Build trust, drive engagement, and ensure every client sees measurable value from Datavations.
• Drive adoption and impact: Go beyond platform training. Help clients integrate Datavations intelligence into their actual workflows-PLR prep, assortment reviews, pricing strategy, merchant meetings.
• Tell the story with data: Translate complex datasets into clear, compelling narratives for technical and non-technical audiences. Build business reviews, insight decks, and ad-hoc analyses that move the conversation forward.
• Identify growth opportunities: Surface cross-sell and upsell opportunities through genuine understanding of client needs. Qualify expansion potential and collaborate with the sales team to grow accounts.
• Champion the client internally: Be the voice of the customer inside Datavations. Advocate for product improvements, flag risks early, and work cross-functionally with data science, product, and leadership to solve problems.
• Build and share knowledge: Develop repeatable playbooks, client-facing content, and best practices that raise the bar for the entire CS team.

WHAT WE ARE LOOKING FOR

Required

• 3+  years in a customer-facing role where you used analytics and data to drive ROI and inform decisions. Customer success, client consulting, solutions engineering, or account management in a data/analytics context all count.
• Demonstrated ability to manage and grow enterprise client relationships-not just maintain them.
• Strong data storytelling skills. You can build a narrative for a VP of Sales and also have a detailed data conversation with an analytics lead.
• Experience driving adoption of data products or analytics platforms across large organizations. You know how to scale usage beyond the initial champion.
• Comfort working with alternative or non-traditional data sources and articulating their value to new audiences.
• Revenue awareness. You understand pipeline, renewal risk, and how CS activity connects to commercial outcomes.
• Executive presence. You can hold a room with senior stakeholders and earn their trust through substance, not just polish.
• Clear, direct communication style; well-organized thinking and practical recommendations.

Preferred

• Experience with retail, consumer, or building materials data (Nielsen, Circana, Numerator, 1010data, major retailer insights platforms or similar).
• Background in market research, competitive intelligence, and/or analytical consulting.
• Familiarity with data tools and platforms: SQL, BI dashboards (Tableau, Looker, Power BI), or scripting for analysis (Python, R).
• Demonstrated integration of AI (Claude, Gemini, etc.) into your day-to-day routines to elevate efficiency and unlock new levels of insight through research and data integration.
• Experience working at a small or mid-size company where you wore multiple hats and were successful in a dynamic and fast-paced operating model.
• Understanding of the retailer/supplier ecosystem-category management, assortment planning, merchant dynamics, supply chain, etc.

LOCATION & DETAILS

• Remote (US-based). Strong preference for candidates located in or near New York (Datavations HQ - Hybrid), Atlanta, Charlotte, or Chicago for proximity to clients and periodic in-person collaboration.
• Travel expected: approximately 10-20% for client meetings, QBRs, and team events.
• Competitive compensation including base salary, performance-based bonus tied to client outcomes, and benefits.

WHY DATAVATIONS

• Impact at Scale: Influence a $2.3 trillion industry by shaping how data and AI accelerate ROI for major manufacturers.
• Real Commercial Mandate: This is marketing with a number on it. You'll see the deals you helped open in the pipeline review every week.
• AI-First Culture: Inherit a working AI tool stack across content, attribution, and operations, and build the next layer.
• Autonomy & Growth: Enjoy the freedom to experiment, build the team's playbook, and see your ideas realized in production.
• Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.
• Equity in a High-Growth Series A: Share in the upside as we hit our next phase of rapid growth.

Our values

• Customer Obsession: We are integrated in the industry with a customer-first obsession.
• Proactive Ownership: We have agency for our actions and embody an entrepreneurial mindset.
• Bias for Action: We maintain momentum with a can-do attitude; we value progress over perfection.
• Eager to Grow: We stay curious and hungry to learn, viewing every failure with humility as an opportunity to grow.
• Foster Collaboration: We work across boundaries with quiet competence, welcoming diverse perspectives and offering help unselfishly.

Compensation

The base salary for this role is expected to be around $110,000 depending on location,  experience, skills, and alignment with the role's responsibilities. Total compensation may also include equity, performance bonuses, and a comprehensive benefits package. 

We're committed to paying competitively and equitably, and we regularly review our compensation structures to ensure they align with the market and support our values.