Senior Solutions Engineer

PeopleStrong; Bengaluru; Hybrid; INR 2,400,000 - 4,000,000; Full time

Job summary

PeopleStrong is seeking a high-impact Data Science Presales Solutioning professional to anchor our CPG Retail RFP and proposal writing efforts. You will own end-to-end solutioning from discovery through executive storytelling for US-based CPG clients, collaborating with Sales, Delivery, and CoE teams to translate AI/ML capabilities into compelling narratives and winning proposals.

You will architect AI/ML, GenAI, and analytics solutions aligned to CPG use cases such as demand forecasting, RGM,

Qualifications

• 6+ years in data, analytics, or AI/ML consulting or product roles.
• Minimum 2 years in dedicated Pre-Sales, Solutioning, or Solution Architecture.
• Experience winning engagements with US-based enterprise clients in CPG.
• Strong understanding of CPG value chain and analytics platforms.
• Fluency in designing POC scopes with clear hypotheses and success metrics.
• Excellent written and verbal English; executive storytelling capability.

Responsibilities

• Own the solutioning process for CPG accounts across RFPs, RFIs, and proposals.
• Lead client discovery workshops to elicit business problems and opportunities.
• Architect AI/ML, GenAI, and analytics solutions for CPG use cases.
• Structure POC scopes with deliverables, effort estimates, and commercial hooks.
• Build proposal narratives from executive summaries to delivery approach.
• Design high-quality executive presentations for C-suite stakeholders.

Skills

Data Science Presales

Solution Architecture

AI/ML

GenAI

CPG Domain Knowledge

Executive storytelling

Tools

Azure

AWS

GCP

Databricks

Job description

Data Science Presales Solutioning CPG Retail RFP & Proposal Writing

Job Description

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.
• Commercial & Cross-functional Collaboration:
• 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:
• 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).
• Domain & Technical Knowledge: o 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.
• Soft Skills & Mindset:
• 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)