Solutions Manager

MathCo; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

MathCo seeks a high-impact Solution Manager to anchor our CPG portfolio's pre-sales and solutioning engine. This client-facing role owns end-to-end solutioning—from discovery through proposals, pricing, and executive storytelling—for US-based CPG clients.

You will partner with Sales, Delivery, and CoE to craft differentiated AI/ML, GenAI, and analytics solutions, translating complex capabilities into compelling narratives and winning proposals.

Qualifications

• 6+ years in data, analytics, AI/ML consulting or product roles.
• Experience in pre-sales, solutioning, or solution architecture owning proposals end-to-end.
• Proven track record with US-based enterprise clients in CPG is preferred.
• Strong understanding of CPG value chain across commercial and supply chains.

Responsibilities

• Own solutioning for CPG accounts across RFPs, RFIs, and proposals.
• Lead client discovery workshops to elicit business problems and define success.
• Architect AI/ML, GenAI, and analytics solutions aligned to CPG use cases.
• Structure POC scopes with hypotheses, deliverables, and commercial aspects.
• Build proposal narratives from executive summaries to delivery approach.

Skills

Data analytics

AI/ML

Pre-Sales

Solution architecture

Executive storytelling

Client engagement

US market experience

Education

MBA or advanced degree

Tools

Azure

AWS

GCP

BI tools

Databricks

Job description

We are looking for a high-impact Solution Manager to anchor our CPG portfolio's pre-sales and solutioning engine. This is a client-facing, commercially oriented role where you will own the end-to end solutioning lifecycle from discovery and shaping proposals, pricing, and executive storytelling-for US-based CPG clients. You will partner closely with our Sales, Delivery, and CoE teams to craft differentiated, insight-led solutions in AI/ML, GenAI, and Analytics-translating complex technical capabilities into compelling client narratives and winning proposals.

Key Responsibilities

• Own the solutioning process for CPG accounts across RFPs, RFIs, proactive proposals, and capability pitches targeting US market clients.
• Lead client discovery workshops and structured intake sessions to elicit business problems, define success metrics, and translate them into solution blueprints.
• Architect AI/ML, GenAI, and analytics solutions aligned to CPG-specific use cases (e.g., demand forecasting, RGM, trade promotion optimization, supply chain AI, consumer intelligence).
• Structure POC / prototype scopes with clear problem framing, success criteria, effort estimates, and commercial hypotheses.
• Build and own proposal narratives-from executive summaries and solution architecture to delivery approach, team structure, and commercial constructs.

Executive Storytelling & Client Engagement:

• Design and deliver high-quality executive presentations for C-suite and VP-level stakeholders at CPG clients.
• Craft differentiated points of view (POVs) and thought leadership content that position MathCo as the preferred AI partner for CPG enterprises.
• Represent MathCo in client-facing meetings, workshops, and orals-acting as a trusted advisor and solution expert. Internal Use Only
• Partner with Account Managers/ Customer Success Leader in US and Mining & Farming leads for Vertical growth to develop account strategies, pipeline plans, and pursuit roadmaps for key CPG clients.
• Work closely with CoE leads, Delivery Managers, and practice heads to ensure solutions are technically grounded, deliverable, and commercially viable.

Contribute to pricing, effort estimation, and deal structuring in coordination with finance and delivery stakeholders.

• Support internal capability building-contributing to reusable proposal assets, solution accelerators, and CPG-specific IP.

Required Skills and Experience

• 6+ years of overall experience in data, analytics, or AI/ML consulting or product roles.
• Minimum 2 years in dedicated Pre-Sales, Solutioning, or Solution Architecture capacity owning proposals and client pitches end-to-end.
• Demonstrated track record of winning engagements with US-based enterprise clients, ideally in CPG (Food & Beverage, Household Products, Tobacco & Spirits, or broad CPG).
• Strong understanding of CPG value chain-commercial, supply chain, marketing, and manufacturing domains.
• Hands-on fluency with AI/ML concepts: predictive modelling, NLP, computer vision, recommendation systems, and GenAI/LLM applications.
• Familiarity with analytics and data platforms: cloud data stacks (Azure / AWS / GCP), BI tools, and modern data architectures (Lakehouse, Data Fabric, Semantic Layer).
• Ability to scope GenAI and agentic AI solutions-including RAG architectures, AI agents, and enterprise LLM deployment patterns.
• Proven ability to lead RFP / RFI responses-structuring win themes, differentiators, and solution narratives under tight deadlines.
• Experience designing POC scopes with clear hypotheses, deliverables, and success metrics that de-risk larger engagements.
• Strong commercial acumen-comfortable with effort estimation, pricing models, and deal shaping conversations.
• Executive-level communication and presentation skills; able to engage and influence senior stakeholders confidently.
• Entrepreneurial, self-starter mindset-comfortable operating in ambiguity and building structure where none exists.
• Strong collaboration skills; able to work across time zones with US-based clients and internal global teams.
• High ownership orientation treats client outcomes as personal accountability, not just delivery responsibility.
• Excellent written and verbal communication in English; ability to simplify complex AI concepts for non-technical audiences.

Good to Have:

• Prior experience at a global analytics / AI consulting firm with a dedicated CPG vertical.
• Familiarity with US CPG market dynamics-key players, regulatory environment, and digital maturity trends.
• Experience with agentic AI frameworks and enterprise AI platform deployments (e.g., Azure OpenAI, AWS Bedrock, Databricks).
• MBA or advanced degree in a PLUS in any one of the disciplines (Engineering, Statistics, Computer Science, Business Analytics)