VP of Solution Engineering

About ATLAS SP Partners ATLAS SP Partners is a global investment firm providing stable funding, financing, advisory and institutional products to market participants seeking innovative and bespoke structured credit and asset-backed solutions. Our experienced team works closely with clients to determine optimal approaches for capital optimization and goal achievement, leveraging a holistic suite of integrated capabilities – including asset and portfolio advisory, warehouse and acquisition financing, whole loan purchase and sale, and securitization and distribution. ATLAS is proud to build upon a legacy of client excellence, distinguished by certainty of execution, deep expertise, and comprehensive service across the asset management landscape. Our Culture ATLAS operates as “one team” where every individual makes an impact. We grow together, win together, and embrace change as a unified organization. Our commitment extends beyond advancing markets, and we strive to make a meaningful difference in our communities and for our clients. Our people are industry leaders, driven by a passion for client service, complex problem solving, and innovation. We foster professional and personal growth in a collaborative, inclusive environment, and are proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape. The VP, AI Solutions will serve as ATLAS’s forward deployed engineer (FDE) to the firm’s business desks - CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Fund Finance, and others - partnering directly with desk and operations leads to understand how deals get done today and where AI can meaningfully improve the work. This is not a role focused on replicating existing processes step-for-step in an AI wrapper; it is a role focused on questioning and redesigning workflows so that AI is embedded where it adds the most value. The VP will work side-by-side with desk professionals to map current-state workflows, identify friction points and manual handoffs, and design target-state processes that combine automation, augmentation, and human judgment appropriately. The VP will build working prototypes directly with desk teams, iterate quickly based on real usage, and partner with the Director, AI Innovation and the broader technology organization to move validated solutions into governed, production-ready capabilities including contributing reusable components to the firm’s AI skills catalog. This position is based in New York. Financial services experience is essential, along with the judgment to know when a process should be redesigned rather than merely automated, and the communication skills to bring skeptical desk stakeholders along. Primary Responsibilities * Desk Engagement & Discovery * Embed directly with business desks CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Risk, Treasury, Accounting and others to learn existing workflows, tools, and pain points firsthand. * Run structured discovery sessions with desk and operations leads to surface high-friction, high-volume, or error-prone processes suited to AI-enabled redesign. * Distinguish opportunities for genuine workflow and process redesign from requests to simply automate an existing manual step. * Partner with desk leads to prioritize opportunities based on business impact, feasibility, and readiness for change. * Solution Design & Prototyping * Design and build working prototypes and proof-of-concepts directly with desk teams, iterating quickly based on real feedback and usage. * Apply a forward deployed engineering approach: sit with the business, build fast, and validate against real deal work rather than hypothetical requirements. * Guide desk and ops leads in authoring their own reusable skills and workflows, consistent with the principle that desks own the domain content. * Ensure prototypes meet baseline security, data-handling, and governance expectations before they reach production consideration. * Workflow & Process Redesign * Map current state processes end-to-end and identify where AI should change the shape of the workflow, not just the tool used to execute it. * Partner with desk leadership to redesign processes around AI-native capabilities, rather than treating AI as a 1:1 replacement for existing manual steps. * Recommend where roles, handoffs, and controls should shift as a result of redesigned workflows, and flag clearly where redesign is not the right answer. * Deployment & Adoption * Transition validated prototypes into governed, production-ready solutions in partnership with the Director, AI Innovation and technology, security, and platform teams. * Drive change management and training with desk teams to ensure adoption, understanding of capabilities and limits, and sustained usage. * Monitor deployed solutions for performance, drift, and usage, feeding learnings back into the firm’s AI governance program. * Skills Catalog & Enterprise Reuse * Contribute reusable skills, prompts, and workflow patterns to the firm-wide Claude skills catalog, tagged across firm-wide, ABF-primitive, desk-specific, and deal-specific layers. * Identify overlap and duplication across desks and route reusable patterns into shared, discoverable components rather than one-off, siloed chats. * Support discovery, deprecation, and ownership-succession practices so catalog content stays current and trustworthy. * Cross-Functional Partnership * Act as the connective tissue between business desks and the AI Innovation, technology, data, and architecture teams. * Partner with legal, compliance, risk, and security on responsible use, data handling, and governance considerations specific to each desk’s solutions. * Communicate solution value, tradeoffs, and redesign recommendations to desk leadership and senior stakeholders in clear, practical language. Qualification and Experience * Required * 7+ years of experience in technology, product, or process/workflow transformation roles, including hands-on experience building with AI/ML or LLM-based tools. * Background working in financial services, ideally within asset-based finance, structured credit, or an adjacent lending/capital markets business. * Demonstrated experience as a forward deployed engineer, solutions engineer, or similar embedded technical role working directly with business stakeholders. * Strong process and workflow design skills. Ability to map a current-state process, question its assumptions, and design a genuinely redesigned target state rather than a like-for-like automation. * Working knowledge of modern AI technologies, including LLMs, prompt engineering, and agent/skill-based frameworks. * Hands-on experience building with RAG (retrieval-augmented generation) architectures and agentic frameworks (e.g., LangChain, LangGraph, or similar), including vector stores, tool/function calling, and multi-step agent orchestration. * Experience partnering with non-technical business stakeholders to translate ambiguous problems into scoped, buildable AI solutions. * Excellent communication and relationship-building skills, with the credibility to work directly with desk and operations leads. * Comfort operating with significant autonomy in a fast-paced, high-growth environment. * Ability to travel to or spend regular time with desk teams as needed to maintain close engagement. * Preferred * Experience with asset classes such as CRE, residential, auto/equipment, transportation, energy, infrastructure, or fund finance. * Experience contributing to or building an internal tools/skills catalog or reusable component library. The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. ---------------------------------------------------------------------------------------------------------------------------------- ATLAS SP is an equal opportunity employer. The firm and its affiliates do not discriminate in employment because of race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other criteria prohibited under controlling federal, state or local law.

WHO WE ARE Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. THE WAY WE WORK The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: * Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. * Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. * Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. * Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. * Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. * Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.   VP OF STRATEGY AND OPERATIONS Team: Revenue Enablement Location: [NYC] - Hybrid Reports to: CRO ABOUT LIGHTNING AI Lightning AI is building the platform and infrastructure that make it dramatically easier for teams to develop, train, deploy, and scale AI systems. As the company behind PyTorch Lightning, and following our merger with Voltage Park, we bring together developer-first AI tooling with high-performance compute infrastructure for researchers, startups, and enterprises building at the frontier of AI. We operate with a simple set of values: Move Fast, Focus, Balance, Craftsmanship, and Minimal. We care about people who can operate with urgency, solve hard problems directly, and build with high standards without creating unnecessary complexity. ABOUT THE ROLE We are looking for a Revenue Enablement Manager to help Lightning AI’s go-to-market teams ramp faster, sell sharper, and operate with a shared playbook. This role will build the enablement systems, content, training, and field reinforcement that help Sales, SDRs, Solutions Engineering, Customer Success, and Partners tell the Lightning AI story clearly and win complex technical deals. WHAT YOU'LL DO *   This person will define the company's strategic direction and ensures the organization executes against it. They partner closely with the CEO and executive team to evaluate growth opportunities, set priorities, track key business metrics, lead cross-functional initiatives, improve operational efficiency, and support executive decision-making with data and analysis. Acting as a bridge across departments such as Product, Sales, Engineering, Finance, and Customer Success, they align teams around company goals, oversee strategic planning and execution, and drive initiatives that improve growth, scalability, and overall business performance.     NICE-TO-HAVES *   Experience with AI, cloud infrastructure, developer tools, data platforms, MLOps, or enterprise SaaS. *   Experience building enablement programs from scratch at a high-growth startup. *   Familiarity with MEDDIC/MEDDPICC, Command of the Message, Force Management, or similar enterprise sales methodologies. *   Experience supporting partner, channel, or solutions engineering enablement. WHY LIGHTNING AI *   You will help define how companies build and scale real AI systems, not just sell another generic software product. *   You will work with technical customers and teammates who care about speed, clarity, craft, and direct problem-solving. *   You will join a company with developer credibility, infrastructure ambition, and a GTM motion that is still early enough to shape. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000—$250,000 USD BENEFITS AND PERKS We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: * Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. * Meaningful Equity: RSUs that give employees a stake in the company's long-term success. * Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). * Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. * Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. * Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. * Professional Development: Annual learning and development allowance to support your professional growth. * Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. * Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. * Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. * In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role.   At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.