Role Description We're hiring a Partner Growth Engineer to own growth across Walnut's live Partner portfolio — diagnosing performance, building the fix, and shipping it. You will own a named book of the largest, most regulated Partner accounts in North America and carry an expansion number against them. Your primary accountability is growing these accounts: - Deepening relationships - Expanding revenue - Driving performance It's a hybrid seat: account leader, growth operator, and technical builder — often in the same week. You must be comfortable and confident in delivering to both the business and engineering stakeholders of Partners. What You'll Own - Strategic Account Leadership - Primary point of contact for a portfolio of named Partner accounts — executive relationship, joint roadmap, QBR cadence, and overall account health - Accountability for revenue projections, retention, product and revenue expansion, and Partner and end-user satisfaction - Account plans for each Key Growth Account, leveraging Walnut's Product, Engineering, and Implementation teams as needed - Drive Revenue Growth & Expansion - Carry an expansion number — NRR, expansion ARR, attachment rate, and conversion lift - Own commercial conversations end-to-end: discovery through close, across distribution, carrier, legal, and product stakeholders - Lead Embedded Growth Across the Portfolio - Serve as Walnut's internal authority on embedded program growth — the person account leads call when conversion stalls - Advise Partners on positioning, channel mix, lifecycle messaging, and in-product placement - Jump in and out of accounts outside your direct book to unlock performance - Operate as a Strategic Partner Internally - Collaborate cross-functionally across Engineering, Product, Legal, and Compliance at Walnut and Partner companies - Bring structured Partner feedback to influence roadmap and product development - Build processes, templates, and standards as Walnut's account function scales - Data & Decisions - Write SQL against the warehouse; comfortable in DB and BI tools - Script reconciliations, reports, and Partner performance benchmarks in Python or Node - Build, Test, and Ship Growth Interventions - Own the build end-to-end; comfortable writing the code, shipping the experiment, and reading the result without a handoff - Run A/B and multivariate tests across enrollment flows, Partner surfaces, and in-product placements - Move fast: diagnose → hypothesize → prototype → test → ship or kill - Codify what works into reusable patterns and playbooks across the portfolio - Technical Execution - Write production-quality JS/TS, build Vue/React components, instrument funnels - Design UX changes to enrollment flows and conversion paths — prototype before the meeting - Debug webhooks, trace requests through Partner stacks, rewire integrations How You'll Work - Fully remote, Canada-based, with travel for Partner meetings and industry events - AI-native: use AI tools for your own productivity and build AI solutions to scale impact across the org Qualifications - 5+ years carrying a number in a quota-bearing AE, strategic account, or partner-led role at a SaaS, platform, or distribution business - Track record growing active enterprise accounts — you can name the partner, the outcome, and what you did - Experience selling into lenders, financial institutions, fintechs, telecoms, or platform retailers - Partner management experience with enterprise-scale, regulated organizations — navigating procurement, compliance, and security review - A secondary Engineering background with fluency with the modern web stack Key Strengths - Commercial and ownership-driven — thinks like a GM of their account portfolio - Executive presence — comfortable with a CRO or CMO one moment, a VP Engineering the next - Strong design taste — can design or direct better enrollment flows and landing pages, and ideally build them - Data-driven and disciplined across forecasting, pipeline, and growth measurement - AI-native operator across sales, growth, and engineering workflows - Diagnostic mindset — quickly defines the ceiling and fastest path to it - Bias to ship — builds the test, not the spec; measures everything; ships multiple times per sprint Nice to Have - Embedded insurance, embedded lending, or embedded financial products experience - Existing network in US or Canadian lending, fintech, telecom, or financial services - Marketing automation or CDP fluency (Customer.io, Iterable, Braze, HubSpot) - Familiarity with our stack: Node.js/TypeScript, Vue 3, AWS, Terraform, CircleCI - Startup, founder, zero-to-one, or solo-builder experience Benefits - Own the growth and performance of Walnut's most important Partner accounts - Operate as a hybrid sales, growth, and technical leader with real autonomy - Competitive compensation with meaningful upside tied to performance and equity Note: Candidates must be based in Canada for this role.

Role Description As part of Intersect’s Development Engineering team, you’ll help shape the engineering standards, technical governance, and innovation strategies that support some of the industry’s largest utility-scale solar, wind, and energy storage projects. This role serves as a technical leader responsible for developing and continuously improving engineering standards, specifications, processes, and contract exhibits that drive consistency, quality, and long-term value across Intersect’s portfolio. - Collaborate closely with Development Engineering, Procurement, Construction, Asset Management, Legal, Finance, EPC partners, consultants, and equipment suppliers. - Influence how projects are designed, contracted, built, and operated while helping Intersect scale efficiently and responsibly. Qualifications - Bachelor’s degree in Civil Engineering, Structural Engineering, or a related discipline; equivalent practical experience will also be considered. - 7+ years of technical civil and/or structural design experience, including 2+ years leading multidisciplinary design processes for utility-scale power projects. - Demonstrated success developing engineering standards, specifications, design criteria, governance frameworks, and continuous improvement programs across multiple projects or portfolios. - Strong understanding of design development, construction methods, applicable codes and standards, permitting considerations, technical risk management, and EPC contracting structures. - Strong project management, organizational, and stakeholder management skills. - Excellent written, verbal, and presentation communication skills. - Experience collaborating across engineering, procurement, construction, operations, and commercial functions. - Strategic thinking combined with strong attention to detail and a commitment to practical execution. - A collaborative leadership style that balances technical excellence, innovation, standardization, and business objectives. - Curiosity, adaptability, and a continuous improvement mindset that supports organizational growth and engineering excellence. Requirements - Lead the development and evolution of civil and structural engineering standards, specifications, design criteria, and best practices across Intersect’s project portfolio. - Drive standardization initiatives that improve quality, constructability, efficiency, and long-term project performance. - Integrate lessons learned from project execution into scalable engineering processes and governance frameworks. - Champion continuous improvement efforts that strengthen technical consistency and organizational effectiveness. - Improve engineering-related EPC contract exhibits, technical requirements, and supporting documentation to align with project objectives and portfolio learnings. - Partner with Engineering, Procurement, Construction, and Operations teams to strengthen technical risk management practices. - Support contracting strategies that improve project execution, consistency, and long-term value creation. - Provide technical expertise to help resolve complex engineering and commercial challenges. - Identify, evaluate, and advance emerging technologies, equipment solutions, and design approaches that improve project outcomes. - Lead technical due diligence efforts, pilot programs, and implementation strategies for new technologies and methodologies. - Monitor industry trends and assess opportunities to improve reliability, reduce costs, and accelerate project delivery. - Foster a culture of innovation by encouraging thoughtful evaluation and adoption of new engineering solutions. - Serve as a technical leader for civil and structural engineering standards, innovation initiatives, and continuous improvement programs across the organization. - Promote knowledge sharing and develop scalable engineering tools, templates, and processes. - Influence the adoption of best practices across development, design, construction, and operational teams. - Support portfolio growth through technical excellence, collaboration, and disciplined decision-making. Benefits - Compensation: $185,000 - $200,000 (total compensation includes base salary + bonus in USD) - Equity: Beyond your salary, you’ll receive an Equity Grant, giving you a meaningful stake in our parent company. - Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision. - Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year). - Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and Maven. - Mental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+. - Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical.

Role Description We are looking for an LLM Fine-Tuning Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires: - Deep practical experience with modern training stacks. - Careful dataset construction and rigorous evaluation methodology. - Engineering discipline to operate complex training pipelines reliably. - Strong ML intuition combined with production-grade engineering practices. - Ability to navigate trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. - Collaboration with cross-functional partners to translate ambiguous requirements into well-engineered solutions. - Raising the bar through code review, design review, and mentorship of junior engineers. - Strong engineering discipline, clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience. - Six or more years of combined ML research and engineering experience, with significant LLM exposure. - Strong proficiency in Python and modern deep learning frameworks, especially PyTorch. - Hands-on experience fine-tuning transformer-based language models at non-trivial scale. - Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism. - Experience with RLHF, DPO, or other preference optimization techniques. - Strong understanding of evaluation methodology, benchmarks, and human evaluation design. - Experience operating training jobs on GPU clusters and recovering from failures. - Strong written and verbal communication skills. - Track record of shipping or publishing impactful LLM work. Requirements - Design and execute fine-tuning experiments for large language models using supervised, DPO, RLHF, and related techniques. - Lead dataset construction, curation, and quality assurance processes for instruction tuning and preference data. - Build scalable training pipelines on top of modern distributed training frameworks. - Tune hyperparameters, optimizer configurations, and training stability strategies for large-model fine-tuning. - Implement parameter-efficient fine-tuning techniques such as LoRA, QLoRA, and adapter-based methods. - Design rigorous evaluation suites including automated benchmarks, human evaluation, and capability-specific probes. - Implement safety, refusal, and policy evaluations to track model behavior across releases. - Operate large-scale training jobs on GPU clusters, diagnosing failures and recovering training state reliably. - Optimize training throughput using mixed precision, sequence packing, and efficient attention implementations. - Manage model artifacts, lineage tracking, and reproducibility across many concurrent experiments. - Collaborate with product, research, and platform teams to align fine-tuning roadmaps with business needs. - Document training methodology, results, and decisions clearly for technical and non-technical audiences. - Mentor engineers on fine-tuning best practices, evaluation rigor, and responsible deployment. - Stay current with LLM research and translate advances into production-ready fine-tuning recipes. Benefits - Competitive base salary commensurate with experience, plus benefits. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap. - 100% remote work opportunity.

• Lead the technical definition and evolution of the Data Lake strategy, ensuring a robust and scalable architecture; • Design and structure data layers (Raw, Trusted, Refined) and processing flows based on ETL and ELT patterns; • Establish guidelines so the architecture supports the company’s growth in volume and complexity; • Develop and automate complex data pipelines, ensuring efficient delivery for predictive models and advanced analytics; • Continuously optimize the performance of data flows, reducing latency and operational processing costs; • Implement tools and practices that enable scalable data modeling oriented to strategic decision-making; • Manage the data acquisition lifecycle, from ingestion through provisioning to stakeholders; • Ensure data quality, integrity and reliability by establishing monitoring and validation processes; • Act as a bridge between technology and the business areas, ensuring data solutions are aligned with the company’s strategic objectives.