Data Platforms Alliance Co-Sell Lead - Databricks and Snowflake

Hitachi, Ltd.; San Jose (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Hitachi, Ltd. seeks a senior partner sales leader to own the US co-sell pipeline with Databricks and Snowflake, partnering with GlobalLogic account teams. The role includes deal registration, enablement, and ongoing pipeline hygiene across Databricks CoPilot and Snowflake portals.

You will drive joint customer conversations, coordinate with Databricks/Snowflake field teams, and ensure accurate reporting of sourced and influenced ACV while aligning go-to-market plans.

Qualifications

• 7+ years in partner sales or alliance management in tech services or ISV co-sell.
• Proven track record of partner-attached revenue, not just program compliance.
• Direct Databricks co-sell experience: CoPilot, deal registration, field alignment.
• Hands-on Snowflake partner ecosystem knowledge: Cortex AI, data migration.
• Experience activating internal sales teams on partner plays.
• Depth in data platform and AI/ML concepts for credible conversations.

Responsibilities

• Own the US data & AI co-sell pipeline forecast in Salesforce and partner portals.
• Register deals, track progress, and ensure pipeline hygiene and progression.
• Enable and coach AEs on co-sell conversations and joint customer engagement.
• Coordinate with GlobalLogic and partner field teams on joint account plans and reviews.

Skills

Revenue-first

Executive presence

Cross-functional influence

CRM discipline

Deal enablement

Pipeline management

Tools

Salesforce

Databricks CoPilot

Snowflake Partner Portal

Job description

Job Description

Job Responsibilities Co-Sell Pipeline Generation & Execution:

• Own the US Databricks and Snowflake co-sell pipeline — from identification through close — operating as a revenue-accountable overlay alongside GlobalLogic account teams
• Register and manage deals in Databricks CoPilot and Snowflake Partner Portal; maintain accurate pipeline hygiene and stage progression in both systems
• Source net-new pipeline by working inbound from partner ecosystems (Databricks AEs, Snowflake field teams) and outbound through GL account mapping sessions
• Qualify co-sell opportunities by matching GL delivery capability to partner platform use cases: Databricks Data Intelligence Platform and Mosaic AI, Snowflake Cortex AI, and data migration
• Participate in joint customer-facing conversations as the alliance subject matter expert, bridging partner platform positioning and GL solution delivery

GlobalLogic Seller Activation

• Build and maintain a cadence with GlobalLogic US account executives and delivery leaders to identify accounts where Databricks or Snowflake attach is a natural fit
• Run deal-specific enablement — not generic training — focused on how to position, qualify, and involve the partner in an active opportunity
• Create concise, deal-ready content: one-pagers, talk tracks, and objection-handling guides that GL sellers can use without needing alliance support on every call
• Track and report on seller activation coverage: which accounts have been mapped, which AEs have run co-sell conversations, and where the pipeline has resulted

Partner Field Relationship Management

• Maintain working relationships with Databricks and Snowflake field teams in the US — partner sales managers, alliance managers, and field AEs — focused on pipeline co-ownership, not program administration
• Participate in quarterly partner reviews with both Databricks and Snowflake to align on shared pipeline, co-sell metrics, and joint account priorities
• Escalate and resolve partner field issues (deal registration conflicts, co-sell attribution disputes, tier eligibility questions) in partnership with the India ops team

Requirements

• 7+ years in partner sales, alliance management, or ISV co-sell roles at a technology services company, GSI, or systems integrator
• Demonstrated track record of carrying and meeting a partner-attached revenue number — sourced or influenced ACV — not just managing partner program compliance
• Direct experience with Databricks co-sell mechanics: CoPilot program, deal registration, and field alignment with Databricks AEs and Partner Sales Managers
• Hands-on knowledge of Snowflake’s partner ecosystem: Select or Premier tier experience, Cortex AI positioning, and data migration attach plays preferred
• Experience activating internal sales teams on partner co-sell plays — coaching account executives on when and how to involve the partner, not just owning the partner relationship
• Sufficient depth in data platform and AI/ML concepts to qualify opportunities and lead credible conversations with technical buyers — you don’t need to architect solutions, but you must identify the right use cases
• Familiarity with Databricks’ core platform: Delta Lake, Unity Catalog, Databricks SQL, Mosaic AI, and the multi-cloud deployment model across AWS, Azure, and Google Cloud Platform
• Understanding of Snowflake’s data cloud positioning, Cortex AI capabilities, data sharing architecture, and how Snowflake competes and coexists with Databricks in enterprise accounts
• Working knowledge of hyperscaler co-sell programs — Google Cloud Platform Partner Advantage, AWS ISV Accelerate, or Azure co-sell — to navigate multi-partner attach scenarios
• Understanding of GSI/ISV commercial models: influenced vs. sourced ACV, deal registration margin protection, and MDF funding mechanics

Skills & Competencies

• Revenue-first orientation: approaches partner relationships as a pipeline generation engine, not a relationship preservation activity
  Pipeline management discipline: maintains accurate deal data, forecasts with conviction, and flags risk early
• GL seller activation: runs deal‑specific conversations with account executives without needing to own the customer relationship directly
• Executive presence: comfortable presenting to C-level buyers, partner field leadership, and GlobalLogic senior stakeholders in the same week
• Cross-functional influence: mobilizes delivery, presales, and marketing resources without direct authority
• Written and verbal communication: produces crisp, deal‑ready materials without requiring extensive editorial support
• CRM discipline: maintains Salesforce pipeline hygiene as a standard operating behavior

Job Responsibilities

Revenue Attribution & Reporting:

• Own the US Data & AI pipeline forecast — weekly, monthly, and quarterly — with clean data in Salesforce CRM and both partner portals
• Report sourced and influenced ACV for Databricks and Snowflake separately using GlobalLogic’s standard alliance attribution methodology
• Contribute to monthly alliance dashboards and QBR materials in partnership with the India ops lead; ops builds the deck, and this role owns the accuracy of the underlying data
• Flag at‑risk deals and conversion blockers early with specific proposed actions to unstick the stalled pipeline

Cross-Functional Collaboration

• Work with GlobalLogic’s Data and Intelligence team to embed Databricks and Snowflake use cases in the Hyperscaler and Partner Marketplace listings and solution collaterals.
• Coordinate with the hyperscaler alliance team on joint sales plays, particularly in accounts where multiple partner motions are running simultaneously
• Provide partner ecosystem input into GlobalLogic’s go‑to‑market planning for Data Modernization, AI/ML Engineering, and Generative AI service lines

GlobalLogic estimates the starting pay range for this role to be performed in Santa Clara, CA, to be $170,000 to $210,000 and reflects base salary only. This pay range is provided as a good‑faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

What we offer

Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip‑to‑cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next‑generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.