• Lead and grow a team of backend and platform engineers migrating post-op processing from a batch system to a real-time, event-driven architecture. • Partner with Product, Attack Engineering, and adjacent Platform teams to sequence the rework so customer value ships continuously rather than as one big-bang cutover. • Work with senior engineers on the team to shape the technical direction: event streaming, stream processing, storage, schema evolution, and replayable processing. • Invest in operational excellence — SLOs, observability, on-call, and incident response — as this system becomes central to every pentest Horizon3 runs. • Help translate existing batch-era logic (finding enrichment, attack path analysis, reporting) into streaming-friendly designs without regressing fidelity. • Recruit, mentor, and retain engineers who care about both distributed systems craft and the security domain. • Establish healthy team practices: design reviews, technical writing, clear API contracts with neighboring teams, and durable decision records.

Role Description Fetch is looking for a Senior Manager of Machine Learning Engineering to lead the team building and scaling machine learning capabilities across our Ad Platform. You will partner with Product, Data Science, Engineering, and business stakeholders to translate strategy into a measurable roadmap that improves advertiser outcomes, member experience, and marketplace performance. You will lead engineers through ambiguous, business-critical problems while maintaining a strong balance between product delivery, model quality, reliability, scalability, and long-term technical health. Role Responsibilities: - Lead and develop a team of machine learning engineers responsible for business-critical Ad Platform systems. - Translate product and technical strategy into quarterly and annual roadmaps with measurable product, technical, and delivery outcomes. - Guide the development of ML solutions for areas such as ad ranking, targeting, bidding, inventory forecasting, optimization, and measurement. - Partner with Product, Data Science, Analytics, and Engineering teams to define success metrics, experimentation strategies, and technical priorities. - Make sound trade-offs across delivery speed, model performance, scalability, reliability, maintainability, and technical debt. - Raise the engineering bar through strong design reviews, code reviews, operational ownership, and architectural standards. - Proactively identify technical and organizational risks before they constrain delivery or platform growth. - Coach engineers on system design, technical decision-making, execution, and career development. - Use data, experiments, incidents, system performance, and delivery metrics to guide priorities and improve team effectiveness. - Drive alignment and execution across teams with shared systems, goals, and dependencies. Qualifications - 8+ years of experience in software engineering, machine learning engineering, or a related technical field, including 2+ years managing and developing engineering teams. - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. - Experience managing and developing machine learning or software engineers in a product-focused environment. - Strong technical background building and operating production machine learning systems at scale. - Experience translating business and product objectives into technical roadmaps and measurable outcomes. - Strong understanding of the ML lifecycle, including data quality, feature development, training, evaluation, deployment, monitoring, and iteration. - Experience making technical trade-offs involving model quality, latency, scalability, reliability, and maintainability. - Ability to lead teams through medium-to-high ambiguity and complex cross-functional dependencies. - Demonstrated experience coaching senior engineers and raising technical and operational standards. - Strong communication and stakeholder-management skills, including the ability to influence without direct authority. - Proficiency with Python and SQL and experience with modern machine learning frameworks and cloud-based data or ML systems. - Experience establishing accountability for both delivery outcomes and the long-term technical health of owned systems. Preferred Requirements - Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related technical field. - Experience building machine learning systems for advertising, recommendations, ranking, personalization, or marketplace optimization. - Familiarity with ad auction dynamics, bidding, targeting, inventory forecasting, attribution, and campaign measurement. - Experience leading teams responsible for low-latency, high-scale production systems. - Strong understanding of experimentation, causal inference, and incrementality measurement. - Experience with modern MLOps practices, feature platforms, model monitoring, and automated training and deployment pipelines. - Experience working with large-scale data processing and distributed systems. - Demonstrated success leading cross-team technical initiatives in a rapidly evolving product environment. Benefits - Competitive compensation packages including base, equity, and benefits.

Role Description Origis is seeking a Senior Manager PV Energy & Performance Engineering whose primary responsibility will be modeling, analyzing, and optimizing plant performance for utility solar plus energy storage projects. This role combines deep technical rigor with real-world impact. You will collaborate closely with Business Development, Project Engineering, EPC, Asset Management, and Operations to deliver defensible energy performance assessments and engineering solutions that strengthen reliability, optimize generation, and support long-term project performance. The Senior Manager PV Energy & Performance Engineering is a regular, full-time position, reporting to the Senior Director PV Performance & Technology, and is eligible for our generous employee benefits package, including: - Employer paid health insurance - Paid time off - 401(k) plan with employer matching contributions - Other great benefits Key Responsibilities - Management of PV production estimates for early to late-stage developments and proposals. - PVsyst energy modeling, including terrain shade analysis, soiling and snow profiles, probability of exceedance analysis, and life cycle degradation projections. - Work cross functionally to drive design optimization and identify project risks and mitigations. - Collaborate with technical and procurement teams to efficiently model and assess equipment optionality. - Conduct capacity testing, including exhibit review, test plan development, and implementation. - Perform technical due diligence on PPA documentation and M&A activities to support contract negotiations. - Contribute to process development and initiatives aimed at furthering modeling team capabilities and accuracy. - Track and manage workflow of solar modeling team and proactively work with internal stakeholders to manage their expectations. - Works across the organization and with IE’s and OE’s to achieve consensus in the target energy outputs for the solar and solar plus storage projects. Qualifications - Bachelor’s or Master’s in Engineering, Physics, or equivalent. - 4+ years of experience in solar energy modeling and optimization. - Knowledge of data sources, system loss factors, and competency in modeling tools for utility scale PV System production assessments. - Strong understanding of DC collection systems, plant design, and key drivers of solar asset performance. - Experience with PVsyst a must; Python, PVLIB experience a plus. - Demonstrated expertise conducting ASTM E2848 PV capacity and performance testing. - Familiarity with battery energy storage system is a plus. Key Attributes for Success - Strong written and verbal communication skills. - Excellent organizational skills and time management skills. - Superb attention to detail. - Ability to perform in a high-growth, fast-paced, collaborative work environment. - Team player; ability to work with multidisciplinary team. - Ability to work with all levels of management and various functional teams. - Strong organization, problem-solving, and analytical skills. - Proven ability to handle multiple projects and meet deadlines. - Versatility, flexibility, and willingness to work within constantly changing priorities with enthusiasm. - Good judgement with the ability to make timely and sound decisions. Location Austin, TX or Remote for the right individual. Travel Up to 20% travel required as necessary. Job Level Senior Manager (Subject Matter Expert) - no direct reports. Equal Opportunity Employer Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here . California Applicants Please review our California Privacy Policy and Notice at Collection. Request for Support or Accommodations As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at candidateaccommodations@origisenergy.com if you would like to request help with your application.

Role Description McGraw Hill, the leading provider of digital and print educational resources, is looking for a Content Creation Manager to join our Higher Education team. The Content Creation Manager is a senior contributor within the Content Courseware Team, responsible for orchestrating the end-to-end AI-assisted development of digital learning content. Operating at the intersection of instructional quality, AI tooling, and agile content production, this role is critical to our transformation from legacy development models to a scalable, data-informed content ecosystem. The Content Creation Manager ensures that content is produced efficiently, meets rigorous pedagogical standards, and aligns with market-driven curricular priorities established by the Curriculum Team. What you will be doing: - Leading the production of courseware content through AI authoring platforms, directing prompt workflows, content generation cycles, and human-in-the-loop review processes to ensure instructional integrity. - Managing the content development lifecycle from initial asset generation through QA handoff, coordinating with Content QA and Content Data Analyst/Researcher to maintain quality benchmarks and production timelines. - Partnering with the Curriculum Strategy Manager to ensure content aligns with the established curricular spine, topic hierarchies, and learning objectives for each discipline. - Driving adherence to agile development standards across all production workflows, participating in sprint planning, retrospectives, and continuous improvement initiatives. - Developing and maintaining prompt engineering frameworks, content templates, and production playbooks that enable consistent, scalable content generation. - Evaluating and adopting emerging AI authoring tools and shared services, identifying opportunities to reduce manual effort and improve content velocity. - Ensuring content assets are properly tagged, structured, and integrated within the AI content ecosystem to support dynamic delivery and evergreen updates. - Contributing to financial modeling and investment case development for content production initiatives, tracking cost-per-asset metrics and production ROI. - Championing the elimination of legacy development artifacts (brand-specific instructor resources, manual indexing, snowflake custom builds) in favor of scalable, standards-based solutions. - Mentoring and developing content production staff, embedding AI and data literacy across the team. Qualifications - Bachelor's degree in Education, Instructional Design, Communications, or a related field; Master's degree preferred. - 5+ years of experience in content or curriculum development, with at least 2 years in a management or lead capacity. - Demonstrated experience with AI content generation tools, prompt engineering, and human-in-the-loop production workflows. - Strong project management skills with experience in agile methodologies (Scrum, Kanban, or equivalent). - Proven ability to manage cross-functional relationships and coordinate across curriculum, QA, and data teams. - Familiarity with content tagging, metadata standards, and learning object repositories. - Experience in higher education, EdTech, or digital publishing strongly preferred. - Financial literacy with the ability to contribute to business cases, track budgets, and assess production economics. Benefits - This is a rare opportunity to bring your design expertise to a team that is actively reimagining how educational content gets built — with the autonomy to experiment, the support to grow, and the satisfaction of seeing your work directly shape what learners experience. - The pay range for this position is between $100,000 - $122,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. - An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.