Job Closed
This listing is no longer active.
Using CaaS (Codeless-as-a-Service) to accelerate time-to-market & eliminate legacy code for the enterprise 🚀
Lead Value Engineer
Location
United States
Posted
142 days ago
Salary
$148K - $175K / year
Seniority
Senior
Job Description
Lead Value Engineer
Unqork
• Deal Execution & Closure: Working with the field sales organization, take ownership of the "commercial win" by addressing financial hurdles and business-case objections to drive deals to closure. • Custom Value Modeling: Build defensible, data-driven financial models (TCO, ROI, and NPV) that compare a prospect’s current vendor landscape, potentially failed AI projects, and technical debt against Unqork AI. • "Outside-In" Benchmarking: Develop proactive business cases using public financial filings (10-Ks) and industry benchmarks to provoke executive interest before deep discovery. • Champion Coaching: "Arm" internal champions with the narratives and financial data required to defend the Unqork AI business case during internal budgetary reviews and CFO audits. • Pricing & Packaging Strategy: Consult with the Deal Desk and Product teams to ensure Unqork AI’s commercial models capture the true value delivered while remaining competitive. • Programmatic Scalability: Build the "Value Playbook"—including self-service ROI calculators and training, along with customer facing business value assessments (BVAs) -- to empower the broader Sales and ADR teams to conduct value conversations independently. • Renewal & Expansion Safeguarding: Partner with Customer Success to conduct Value Realization Reviews (VRRs) that document proven ROI to secure high-stakes renewals and identify expansion opportunities. • Strategic Positioning: Contrast Unqork AI’s codeless architecture against the "AI Productivity Paradox," demonstrating how we avoid the ballooning maintenance costs of AI-generated "spaghetti code."
Job Requirements
- Experience: 5 to 10 years in Value Engineering, Management Consulting, or a highly technical Sales/Finance role within enterprise software.
- Financial Literacy: Mastery of corporate finance principles and the ability to build complex, defensible financial models from scratch.
- Technical Breadth: A deep understanding of enterprise software ecosystems, legacy vendor models, and the operational costs associated with traditional code-based development.
- Strategic Execution: Proven track record in a quota-bearing or revenue-aligned environment, with an understanding of how to navigate the internal procurement and approval processes.
- Communication: Ability to simplify complex technical architectures into clear, advantageous financial narratives for C-suite decision-makers.
Benefits
- 💻 Work from home with a remote-first community
- 🏝 Unlimited PTO (and the encouragement to use it)
- 📝 Student loan payback program
- 🏥 100% employer-covered medical, dental, and vision options available to you and your dependents
- 💸 Flexible Spending Account (FSA)
- 🏠 Monthly stipend toward your WFH setup, vacation, development and more
- 💰 Employer-sponsored 401(k) with contribution match
- 🏋🏻♀️ Subsidized ClassPass Membership
- 🍼 Generous Paid Parental Leave
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
Observability Engineer
Scratch FinancialScratch Financial is the world's simplest patient financing solution.
• Build and manage centralized observability platforms (Elastic, Prometheus, Grafana). • Design and optimize telemetry pipelines using OpenTelemetry. • Partner with software engineering teams to ease monitoring. • Write and edit code to automate manual processes. • Build sophisticated Grafana dashboards and alerting logic. • Create concise technical documentation and “golden paths”. • Integrate monitoring into CI/CD pipelines. • Assist teams in triaging production issues.
• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows • Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF • Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale • Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software • Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery • Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems • Apply modern software practices including Docker, CI/CD, and automated testing across all development work • Perform related duties as assigned
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Project Engineer on Oklo’s fuel fabrication team, you’ll be responsible for supporting multidisciplinary nuclear design, licensing, procurement, and construction activities by: - Coordinating project schedules - Initiating nuclear-grade purchasing - Ensuring clear task tracking across multiple facility deployments for all team members This role plays a critical part in maintaining nuclear safety, regulatory compliance, and disciplined project execution. The ideal candidate is detail-oriented, technically capable, and well-versed in the rigor required in nuclear environments. This is a highly cross-functional role where technical excellence and a collaborative mindset are equally valued. Specific responsibilities may include: - Developing and maintaining integrated schedules for nuclear system design, equipment qualification, procurement, and construction activities - Incorporating regulatory milestones, QA/QC steps, readiness reviews, and hold points into project timelines - Tracking progress across engineering disciplines (mechanical, electrical, I&C, safety analysis, licensing) - Identifying schedule risks, critical-path items, and long-lead nuclear components - Leading recurring project coordination meetings, ensuring alignment between engineering, licensing, procurement, and construction teams - Preparing status reports for internal leadership and regulators (as applicable) - Generating procurement documentation for safety-related, ASME-coded, and nuclear-grade equipment - Managing RFQs, vendor communications, and verification of technical and quality requirements (e.g., material certs, CMTRs, FATs, documentation packages) - Tracking lead times, manufacturing progress, inspections, and delivery schedules of critical nuclear components - Working closely with supply chain quality, engineering, and project managers to ensure compliance with nuclear procurement processes - Maintaining detailed engineering task lists, design action logs, and configuration-controlled revision tracking - Using workflow tools (e.g., Jira, Smartsheet, etc.) to monitor engineering deliverables, safety analyses, and change requests - Tracking cross-functional tasks involving design, safety analysis, licensing, quality, and fabrication teams - Driving timely completion of design outputs required for regulatory submittals, procurement packages, or construction milestones - Producing weekly progress reports with status indicators, overdue items, and resource gaps - Supporting preparation for audits, design reviews, readiness assessments, and regulatory inspections - Presenting schedule impacts, procurement status, and risk mitigation updates to leadership and regulatory stakeholders - Documenting project decisions, change impacts, and maintaining traceability for regulated engineering activities - Ensuring project documentation follows nuclear QA requirements (e.g., NQA-1 or equivalent) - Managing design records, procurement documentation, inspection results, and nonconformance follow-up - Assisting in developing and improving internal processes related to scheduling, procurement, and engineering workflow - Supporting risk assessments, cost tracking, and project performance reporting Qualifications - Bachelor’s or higher degree in Mechanical, Electrical, Nuclear Engineering or a related engineering discipline - 2–5+ years of experience in greenfield or brownfield engineering projects in a regulated industrial environment preferred - Understanding of quality management systems and functioned under at least one licensed system - Experience with project scheduling tools - Strong understanding of technical drawings, engineering deliverables, and procurement packages - Excellent communication and organizational skills - Solid understanding of mechanical and electrical design principles - Working knowledge of material selection (particularly metals), manufacturing methods, and fabrication techniques - Proven ability to function in a collaborative team environment on projects through the full development cycle—from concept and design to testing and production - Strong written and verbal communication skills, with the ability to clearly document and present engineering work - Comfortable working with external manufacturers and engineering consultants Requirements - Experience with advanced reactor technologies (e.g., microreactors, fast reactors, SMRs) - Familiarity with regulatory processes (NRC, DOE, ASME code compliance) - Familiarity with nuclear QA requirements (NQA-1 or equivalent) - Exposure to vendor qualification, commercial-grade dedication, or nuclear-grade procurement - Knowledge of ERP tools used in nuclear supply chain environments - Prior involvement in safety analyses, design reviews, or licensing workflows - Basic knowledge of nuclear fission and radiation effects on materials and components Benefits - Salary: $100,000-$150,000 - Flexible time off - Equity - Competitive pay - 401k - Health insurance - FSA - Flexible work hours - Other benefits
• Translate business requirements into technical specifications • Support the development and evolution of the spatial reasoning core of our AI tool, including: H3 driven spatial analytics pipelines, • Spatial aggregation, density estimation, and hotspot detection • Proximity, adjacency, and neighborhood analysis • Deterministic, reproducible spatial reasoning functions • Performance-optimized algorithms for large datasets • Spatial correctness tests and benchmarking suites • Deploy monitoring tools to track status and performance of system architecture and data flows • Develop API-driven backend services with FastAPI, Pydantic, and async Python • Work with columnar analytics stacks (DuckDB, PyArrow, Parquet / GeoParquet) • Conduct vectorized data processing using NumPy, pandas, Polars • Develop spatial computation with H3, Shapely, and lightweight geospatial utilities • Write testable, benchmarked code using pytest and async test patterns • Use profiling and performance tools to reason about memory, CPU, and data layout • Build with python package managers like uv and poetry utilizing pyproject.toml for project management • Collaborate in open-source–style repositories with linting, formatting, typing, and CI expectations




