Jiaqi Song

Jiaqi.song724@gmail.com  ·  (510) 229-8402  ·  San Francisco, CA
LinkedIn: https://linkedin.com/in/Jiaqi-song7

EDUCATION
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UC Berkeley, Haas School of Business   (2021 - 2023)
Master of Business Administration, GMAT 760 (99th percentile) · Certificates in Sustainable Business and Food Systems

Jacobs University Bremen, Germany   (2012 - 2016)
Bachelor of Science, International Logistics Engineering and Management · GPA 1.38/1.0 (95th percentile)

EXPERIENCE
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McKinsey & Company — Associate, Growth, Marketing & Sales Practice   (2023 - Present)
  - ML-based Discount Management Tool Rollout (Enterprise Technology) — $160–250M margin opportunity identified; ~90% seller adoption in 3 weeks
  - Packaging & Pricing Architecture Redesign (Cloud Communications) — 5 modular product packages with unified credit-based pricing system
  - AI Infrastructure Market Strategy (TMT) — $1.9T TAM sized at +30% CAGR; positioned client against Neocloud and colocation segments
  - GTM Sprint for Rapid Pathogen Diagnostics (Agriculture & Animal Health) — sequenced 3 market entry paths across livestock, companion animal, and specialty crops
  - GTM Diagnostic & Growth Plan (SaaS) — $130–185M incremental ARR opportunity quantified across core markets
  - GenAI Enablement Strategy for Regulated Enterprises (Financial Services) — $7.2B opportunity sized; go-to-market blueprint for AI-enabled service workflows
  - Contract AI Proof of Value & MVP Deployment (Energy & Utilities) — $45–63M annual savings identified; $900K+ validated in pilot across 18 contracts

Plug and Play Tech Center — Venture & Corporate Innovation Pre-MBA Intern, Brand & Retail and Sustainability Vertical   (2020 - 2021)
  - Facilitated 20+ deal flows with clients including Estée Lauder, P&G, and Kering by defining client use cases, analyzing the market, and sourcing 100+ startups; secured Director-level buy-in for 9 POCs

Wyeth Nutrition (Nestlé Group) — Project Operations & Strategy Lead · Marketing Executive, New Product Development   (2018 - 2020)
  - Negotiated a $7.1M partnership deal with China's largest e-healthcare provider by assessing financial and strategic ROI and defining long-term partnership opportunities; deal reduced Wyeth's service fees by 40% and saved $2.8M
  - Drove on-time delivery of 20+ SKU innovation projects by actively engaging with co-packers and managing a cross-functional team of 5 from R&D, Production, and Legal; shortened project timeline from 18 to 12 months
  - Developed member acquisition strategies by creating an incentive system around the new membership target for online and offline channels; accumulated 2M+ new memberships in 6 months post-launch
  - Modeled digital marketing improvements by analyzing media buy effectiveness and consolidating online channels; improved overall advertising ROI by 10% and saved $3M+ in cost
  - Drove value-based pricing strategy by negotiating with vendors to lower service costs by 15%; improved profitability margin by 7.5% while maintaining product price competitiveness

The Kraft Heinz Company — Head of Sales Operations, Foodservice BU · Corporate Management Trainee   (2017 - 2018)
  - Promoted to spearhead sales operations for the $180M Foodservice Business and lead communication of strategy to 130+ sales representatives across the country
  - Constructed a Foodservice-channel-specific target-setting methodology for distributors and sales representatives; improved target-setting accuracy by 25% and sales process KPI by 20%

PROJECTS
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ML-based Discount Management Tool Rollout — Enterprise Technology   (2023)
  - Quantified $160M–$250M margin improvement opportunity by designing a data-driven deal scoring model that benchmarked discounts and guided optimal pricing decisions
  - Accelerated sales efficiency by cutting deal approval time ~20 minutes per transaction (~5 hours weekly per seller) through automated pricing justification and ML-based tool integration
  - Achieved ~90% seller adoption within three weeks of pilot launch by embedding ML tool into sales workflows and leading structured change management and training programs
  - Enhanced pricing consistency by establishing KPIs for model stability, sales conviction, and tool utility — enabling data-backed performance management
  - Mobilized cross-functional client and McKinsey teams to scale ML tool globally, aligning leadership, incentives, and communications to sustain adoption and capability building

Global Packaging & Pricing Architecture Redesign — Software / Cloud Communications   (2023)
  - Redesigned global packaging and pricing architecture for a leading software company — created 5 modular product packages and a unified credit-based pricing system that simplified discount management and enabled cross-product volume-based pricing
  - Identified 'communications delivered' as the optimal pricing meter through analysis of a 327-respondent customer survey, balancing value alignment, auditability, and margin protection
  - Mapped opportunity-to-revenue process redesign to support subscription-based packaging, automated invoicing, and lifecycle management, aligning finance, product, and GTM functions for scalable rollout
  - Benchmarked peer CPaaS pricing models to inform meter selection and credit conversion design, ensuring competitive differentiation and operational feasibility
  - Defined pilot plan and success metrics — including cross-sell rate and revenue — to test willingness-to-pay and operational readiness; established cross-functional governance for iterative refinement before global rollout

AI Infrastructure Market Strategy — Technology, Media & Telecom (TMT)   (2023)
  - Quantified $1.9T U.S. AI infrastructure total addressable market growing at +30% CAGR by 2035, isolating $660B accessible through Neocloud and colocation segments to guide client investment focus
  - Benchmarked leading GPUaaS and INFaaS providers — revealing Oracle's ~20% lower capital cost and DeepSeek's 10× training cost efficiency — shaping client's partnership and product positioning strategy
  - Modeled AI infrastructure demand by fulfillment model (on-prem, colocation, GPUaaS, INFaaS), identifying Neoclouds' share expansion from 17% to 44% of market by 2035
  - Synthesized competitive insights on Neocloud differentiation — balanced GPU-network ratios, open fabrics, and flat-rate pricing — to inform client's Ethernet-based alternative to proprietary GPU networking
  - Delivered executive-level growth strategy enabling a global hardware company to pivot from legacy segments toward high-growth AI infrastructure partnerships

GTM Strategy Sprint for Rapid Pathogen Diagnostics — Agriculture & Animal Health   (2024)
  - Defined 3 prioritized market entry paths across livestock, companion animal, and specialty crop diagnostics by mapping value chains, assessing market attractiveness, and benchmarking regulatory timelines
  - Identified anchor partnership models with vertically integrated meat processors, large veterinary corporations, and agricultural retailers to accelerate commercialization of rapid molecular diagnostic tests
  - Developed directional business models and cost-to-serve estimates comparing PCR and rapid testing economics to inform pricing and margin strategy for early-stage product launch
  - Delivered a sequenced go-to-market roadmap balancing near-term liquidity needs with long-term anchor customer development to de-risk commercialization under cash constraints

GTM Diagnostic & Growth Plan — Global SaaS — Software-as-a-Service (SaaS)   (2024)
  - Diagnosed global go-to-market performance for a leading SaaS company, quantifying ~$130–185M incremental ARR potential across core markets by linking partner, direct, and churn levers
  - Redesigned partner segmentation and incentive model to shift focus from volume to value, unlocking $63–92M ARR upside from mid-sized partner growth and improved activation
  - Built regional GTM playbooks identifying $42–55M (pilot region) and $52–68M (second region) ARR opportunities through deeper partner penetration, upsell, and marketing efficiency gains
  - Defined FY25 execution roadmap detailing initiatives, ownership, and quantified ARR impact per lever (marketing efficiency, churn reduction, upsell/cross-sell) to guide global rollout
  - Piloted new segmentation, enablement, and marketing efficiency programs in select markets to validate GTM model before scaling globally; aligned CRO, CFO, and regional MDs on execution

Copilot for Service — GenAI Enablement Strategy for Regulated Enterprises — Financial Services & Professional Services   (2024)
  - Sized a $7.2B GenAI opportunity across high-regulation enterprise service segments by integrating survey insights from ~125 respondents and expert interviews to quantify adoption readiness and TAM
  - Mapped end-to-end user journeys for virtual financial advisors and CPAs to pinpoint automation and AI-assist integration points that could improve service speed and accuracy while maintaining compliance
  - Segmented 3 high-value enterprise archetypes and codified their compliance and integration needs to inform a go-to-market blueprint for AI-enabled service workflows
  - Synthesized buyer survey data showing 69% preference for integrated GenAI solutions over point tools, shaping the client's product positioning and partnership strategy for regulated industries
  - Delivered executive readout recommending an integrated 'Hero' solution emphasizing compliance, cost efficiency, and ease of deployment to accelerate GenAI adoption in financial and professional services

Contract AI Proof of Value & MVP Deployment — Energy & Utilities   (2024)
  - Delivered AI-enabled contract analytics MVP for a top-5 U.S. utility company, identifying ~$45–63M annual savings (~1.9% of spend) by detecting invoice leakage and automating term validation across 18 pilot contracts
  - Reduced procure-to-pay cycle times by ~40% by redesigning manual validation into exception-based workflows powered by AI-assisted data entry and automated cross-checks
  - Quantified and validated ~$900K in recoveries during proof of value, establishing a scalable roadmap to capture 3–5% additional savings through contract standardization and commercial levers
  - Confirmed cloud and data architecture readiness for enterprise deployment on existing Azure environment, de-risking MVP scale-up across 6 business units covering 80% of contract spend
  - Mobilized cross-functional team of data scientists, architects, and procurement experts to design AI-driven controls integrating with legacy ERP and asset systems

SKILLS
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Languages: English (fluent), Mandarin Chinese (fluent), Cantonese (conversational), German (conversational)
Expertise: GTM Strategy, Market Sizing & TAM/SAM, Pricing & Revenue Architecture, AI/ML Applications, GenAI Strategy, Cross-functional Leadership, Corporate Innovation

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