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.

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.

• 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.

• 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.

• 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.

• 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.