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This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $225,000 - $450,000 per year A bit about us: We're building the infrastructure layer for private capital markets - combining modern software systems, AI-native workflows, and deep market intelligence to transform how private market transactions happen. Our platform sits at the intersection of financial infrastructure, data systems, and applied AI. We are building agentic systems that automate complex workflows, improve market efficiency, and unlock entirely new ways for users to interact with private market data and liquidity. We recently raised a Series A and are backed by top-tier investors, with a total of $25M in funding. We care about velocity, ownership, and the ability to work in an intense fast paced 0 to 1 builder environment. This is a place for engineers who want to operate at maximum leverage, ship quickly, and help define what AI-native financial infrastructure looks like over the next decade. Why join us? Extremely top end compensation packages for stage of startup - $250-450k depending on experience Equity in the company Hybrid flexibility (2-3 days/week in SF office) Join a small, high-talent-density team where exceptional engineers can have outsized impact Build across the stack - from backend infrastructure and AI orchestration to user-facing product experiences Help define how autonomous systems interact with financial workflows and marketplaces Operate with high ownership and autonomy in a fast-moving environment Work directly with technical founders and influence core architectural decisions Tackle difficult technical problems involving non-deterministic systems, data pipelines, orchestration layers, and automation infrastructure Job Details What You'll Work On: Designing and implementing new agentic systems and AI-native workflows Building infrastructure for orchestration, automation, and AI research agents Improving the performance and reliability of MCP servers and backend agentic services Architecting scalable data pipelines powered by non-deterministic AI systems Building user-facing features on a core data and marketplace platform Improving matching and automation systems for private market transactions Designing backend systems and APIs that support rapid product iteration Contributing to frontend product experiences across internal and external tooling Collaborating closely with product and leadership on technical strategy and prioritization What We're Looking For: 2-8 years of software engineering experience Exceptional engineering horsepower and execution ability Highly proficient with parallel agentic coding workflows and AI-assisted development Strong systems design and software architecture fundamentals Strong product intuition and commercial mindset Ability to thrive in ambiguous, fast-moving environments Comfortable operating under time pressure and high ownership expectations - Experience building and shipping production systems end-to-end Desire to work alongside highly ambitious, high-performing teammates Tech Stack: TypeScript, React, Node.js, Python, Firebase / Firestore, Postgres Additional Details: Hybrid in San Francisco (2-3 days/week in office) Typical workload averages 60 hours/week High ownership environment with strong emphasis on shipping and execution Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Our client in NYC, an AI SaaS product, is looking to hire Senior Engineers! Hybrid in office/work from home model This Jobot Job is hosted by: Nick Frei Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $170,000 per year A bit about us: We are seeking a hard working and passionate Software Engineer. This is an exciting opportunity to work on cutting-edge technologies and be part of a team that is making a significant impact in the Construction Industry/AI industry. The successful candidate will have experience as a Founding/Lead Engineering background because they will be responsible for leading the design, implementation, and deployment of our next-generation AI products and services. This is a permanent position that offers a unique opportunity to work with a team of highly talented individuals in a fast-paced, innovative, and startup environment. Why join us? Completive salary + meaningful equity hybrid work model and flexibility own your work and work with some of the best engineers on our team Be a part of a great shift within our organization! Job Details Backend Python Development AWS Cloud Environments Architecture AI Assisted/Agentic Coding (Claude, Codex, Cursor) Experienced in a founding engineer type position or within a lead capacity with SaaS products Extensive experience in software development, scripting, and project management. Analytical mind with problem-solving aptitude. Ability to work independently. Excellent organizational and leadership skills. Experience in a startup environment, preferably in a tech services company that has gone through a series A funding round or is in stealth mode. Understanding of CI/CD principles and architecture design. Excellent communication skills and the ability to work well in a team. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Seattle, Washington, United States Position Title: Senior AI Enablement Specialist Role Purpose LevelTen Energys mission is to accelerate the energy transition by facilitating frictionless transactions. As the leading provider of renewable transaction infrastructure, we deliver the cloud-based software, centralized supply, automated analytics, and transaction expertise required to power the renewable energy economy. The LevelTen Platform is the worlds largest online hub for renewable energy buyers, sellers, advisors, asset owners and financiers, and delivers the online tools and expertise they need to buy, sell and finance assets quickly. Join us on a mission that matters. LevelTen Energy is looking for a hands on Senior AI Enablement Specialist to serve as our internal AI expert and the driving force behind how we build, secure, and scale AI across the organization. This is a technical individual contributor role you will roll up your sleeves to build agentic workflows, implement AI governance and security best practices, train our teams on the Claude ecosystem, and identify high-impact use cases across all departments. You'll sit within IT but operate largely independently, serving as the person employees, department heads, and the IT team itself turn to for AI guidance, troubleshooting, and capability building. If you can talk about AI but can't build with it, this role isn't the right fit. Duties and Responsibilities AI Building & Automation: Build, deploy, and maintain agentic workflows, AI automations, and lightweight integrations across the Claude ecosystem. Prototype solutions for teams, troubleshoot when things break, and serve as the go-to resource when employees hit a wall with AI tooling. Work with APIs, MCP servers, prompt engineering, and connected platforms and know when something needs IT or Infrastructure involvement and how to hand it off cleanly. AI Security & Governance: Serve as the AI security resource within IT advising on best practices, implementing governance frameworks, and ensuring AI adoption at LevelTen stays secure and compliant. This includes data classification guidance, access controls, audit logging for AI usage, shadow IT risk mitigation, and vendor security reviews for new AI tools. You'll be the person IT and Security lean on when AI-specific security questions arise, operating within our ISO 27001 and SOC 2 environment. Enablement & Uplift: Work directly with employees and teams through one-on-ones, small group workshops, and hands-on build sessions to help non-technical staff get more out of Claude. The goal isn't awareness it's capability. You're helping people build automations, use advanced features, and work more effectively with AI in their specific role. Cross-Functional Collaboration: Partner with department heads to identify workflows where AI can drive efficiency, reduce manual work, or unlock new capabilities. Translate what you learn into solutions you can actually build and deploy alongside the team. Process Building & Metrics: Build the intake process, adoption metrics, and feedback loops that don't exist yet. Design these from scratch with the freedom to make them work for LevelTen's culture and scale. Track what's working, surface what isn't, and use that data to continuously improve how the company uses AI. Market Research: Stay current on the AI landscape not just the hype, but what's actually relevant to LevelTen. Evaluate new tools against our security and compliance standards before they reach employees, and bring back practical recommendations. Qualifications 5+ years of technical experience in a hands-on role AI development, technical product management, systems engineering, or similar with at least 2 years of direct AI building experience as an individual contributor. You've owned and built things yourself, not managed a team to do it for you. Deep Claude Ecosystem Fluency: You know what Skills, Artifacts, Projects, Cowork, and MCP are and have used them in practice. You've built agents and workflows in Claude, not just prompted it. If we ask you to demo something in the interview, you can pull it up. Proven AI Builder: You have something to show for it a workflow, an agent, an integration, a tool. You're comfortable working with APIs, prompt engineering, and lightweight integrations without needing engineering support for every step. AI Security Awareness: You understand the security implications of AI adoption data flows, prompt injection risks, model data retention policies, shadow IT and you're comfortable serving as the AI security resource alongside an IT and InfoSec team. Familiarity with ISO 27001, SOC 2, or NIST frameworks is a plus. Self-Directed: You don't need to be told what to build or how to prioritize. You identify the gaps, design the solution, and execute escalating cleanly when something requires access or infrastructure outside your scope. Strong Communicator: You can explain a multi-agent architecture to an engineer and explain why AI matters to someone in HR and you know those are two completely different conversations. One-on-ones, small group sessions, and hands-on build workshops are all in your comfort zone. Collaborative and Empathetic: You meet people where they are. Helping a non-technical employee build their first automation requires as much patience and communication skill as building the underlying infrastructure and you bring both. IC-Oriented: You're energized by building and enabling, not managing people. You measure success by what gets built, what gets adopted, and how much AI capability you've added to the organization. Self-Driven Practitioner: You experiment with AI on your own time because you're genuinely curious, not because it's on your performance review. You stay current and bring what you learn back to the team in practical, applicable ways. Benefits / Perks Full Medical, Vision and Dental coverage Wellness Credit Flexible vacation policy 11 paid company holidays 401k In the Seattle office: Casual dress code Commuter benefits Standing desk options Regular company-sponsored happy hours Hybrid in-office/work from home schedule Additional Information This position is based out of our office in the Belltown neighborhood of Seattle, WA (hybrid work schedule). The estimated compensation for this position is $140,000-180,000 per year, based on experience and qualifications. In addition, this position is eligible for an annual bonus and an equity grant. Must be legally authorized to work in the U.S. without a current or future need for visa sponsorship. About LevelTen Energy LevelTen Energy is the leading provider of transaction infrastructure for the clean energy transition, connecting buyers, sellers, and financiers through dynamic marketplaces, data-driven insights, and automated analytics. The LevelTen Platform supports power purchase agreements, clean energy asset M&A transactions, and tax credit transferssoon expanding to granular certificate tradingenabling organizations to execute and manage transactions with confidence. With a network of over 1,000 project developers in 35 countries, LevelTen is advancing carbon-free energy markets by increasing transparency, liquidity, and accessibility. Learn more at Equal Opportunity Employer LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status. Accessibility If you are an individual with a disability and need assistance completing the online application or during the interview process, please call 1-. Please leave a message and a member of our People team will return your call within three business days. Alternatively, an email may be sent to . Applicant Accommodation should be included in the subject line of the email. Please note that this phone number and email are only for those individuals who would like to request an accommodation to apply for a job. PIcbd91-1983

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Lead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins-owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams. Key Accountabilities Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases. Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE. Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance. Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring. Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability). Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows. Support ETL activities related to ADC data (CAE) structure. Establish design standards, code quality, and documentation to support reuse and auditability. Mentor and technically guide mid-level and junior engineers. Qualifications, Experience, and Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience. 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments. Other Job-Specific Skills Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs) Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong foundation in statistics, optimization, and numerical methods Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock) Experience with LangGraph / LangChain & Strands SDK. Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD) Knowledge of model governance, compliance, and responsible AI frameworks CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred). Prior knowledge of automotive or related design engineering work is a plus. Job Dimensions Decisions Expected Working Conditions Work is primarily conducted at an office desk; hybrid (office/home) work may be available. Occasional travel and overtime may be required based on project milestones. Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.