• Deeply understand Seismic’s product strategy and roadmap. • Serve as the primary bridge between where the product is going and the external partnerships required to get there. • Translate product strategy into a partnership ecosystem plan identifying which AI platforms, ISVs, and workflow partners are required to execute Seismic’s vision, and building the commercial and technical agreements that deliver it. • Own executive relationships with key partners including companies like OpenAI, Anthropic, Microsoft, ServiceNow, Snowflake, Canva, Salesforce, and others. • Build trust at the C-suite level and maintain deep working relationships at the product and engineering level. • Lead full-lifecycle partner engagements: strategy, prioritization, commercial negotiation, legal close, integration activation, and joint go-to-market planning. • Ensure external partnership commitments are grounded in product reality working closely with the CPO and product leadership so that what we agree to externally is achievable and additive to the roadmap. • Bring structure to partner prioritization: define where Seismic goes deep, where we move fast, and where we say no always anchored to product and business strategy. • Build and scale the partnerships function by expanding go-to-market partners beyond the few partners we currently sell with. • Represent Seismic externally across different partner types (ISVs, Hyperscalers, LLM model engines, etc.) as a thought leader in AI-powered enablement, GTM technology ecosystems, and the future of seller-customer engagement. • Drive measurable outcomes: partner-influenced ARR, integration adoption, and commercial agreements that directly accelerate product and revenue goals.

Role Description As the Alliance Leader, you will own the partner management function for McKinsey. This includes: - Strategic partnership planning - Sponsor development - Capability development - Solution development - Thought leadership - Partnership promotion - Business development - Relationship management You will report to the VP, Partner Program. The impact you will have: - Expand the mindshare for Databricks within the McKinsey partner organization by nurturing and developing multiple sponsors and stakeholders. - Build a healthy and sustainable services business by: - Expanding skills and assets - Encouraging thought leadership - Supporting the development of relevant offerings - Promoting the relationship - Building a network of stakeholders - Identifying and advancing the pipeline - Demonstrate the impact of your partner on Databricks adoption via executive influence and thought leadership. Qualifications - Leadership: experience working with senior executives - Management Consulting: 10+ years of experience with management consulting providers - Relationship Management & Planning: balancing priorities within a relationship to optimize outcomes - Working as a Team: ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations - Execution Readiness: support practice and skills development for C&SI Partners with a balanced approach to enablement programs, differentiated asset & offering development, internal promotion, marketing activities, and delivery excellence - Good Governance: work with your partner to ensure the right governance is in place, including agreements, executive relationships, and processes Requirements Pay Range Transparency: - Zone 1 Pay Range: $204,200 — $280,775 USD - Zone 2 Pay Range: $204,200 — $280,850 USD - Zone 3 Pay Range: $204,200 — $280,850 USD - Zone 4 Pay Range: $204,200 — $280,850 USD Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Company Description Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter , LinkedIn , and Facebook .

• Developing and implementing client management strategy within the context of Alight’s overall, long-term business strategy • Setting and leading deployment of long-term operating plans to achieve key business objectives • Building and leading a high-performing client management team, fostering a culture of accountability, collaboration, and continuous improvement • Acting as a liaison between clients and internal teams (e.g. product development, technical support) to address issues and resolve problems efficiently • Establishing key performance metrics and developing processes to track, measure, and report on customer success initiatives • Identifying and addressing any barriers to adoption or usage of Alight’s product and services • Building successful, trusted relationships with key stakeholders at client organizations, from executives to end-users • Addressing customer needs, challenges, and opportunities to drive customer satisfaction and loyalty • Providing insights and feedback to drive product improvements and enhancements • Staying informed about industry best practices and trends, applying insights to continuously improve the customer success function • Analyzing customer data and usage patterns to identify at-risk customers and develop strategies to mitigate churn • Partnering with the commercial team to identify opportunities for upselling and cross-selling additional products or services • Developing and implementing strategies to drive customer retention, expansion, and renewal.

• Define and execute a bold product vision aligned to company growth objectives, North Star metrics, and innovation goals. • Own multi-horizon planning to balance core ARR-driving products with emerging AI-first offerings. • Drive platform evolution, ensuring scalability, resilience, and speed in delivering customer value. • Serve as an external face of product strategy, presenting at industry events and publishing thought leadership in collaboration with marketing. • Navigate highly technical product decisions with fluency, including API architecture, platform infrastructure, and accessibility standards. • Partner deeply with Engineering leadership to evaluate build-vs-buy-vs-partner decisions, define technical product requirements, and ensure the product organization can hold its own in architecture and feasibility conversations. • Translate complex technical constraints and opportunities into coherent product strategy and customer-facing value. • Serve as the execution backbone for the product organization: own operating cadences, hold teams accountable to commitments, and surface blockers before they become misses. • Drive the standard operating rhythms for assigned product lines including weekly forecast participation, monthly and quarterly business reviews, and half-year planning cycles. • Create clear accountability structures across value streams and ensure cross-functional dependencies are tracked and resolved. • Lead the identification and execution of process automation opportunities.