This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an Engagement Manager at Snorkel AI, you will lead high‑impact AI initiatives for enterprise customers, owning delivery from initial scoping through value realization. You will partner with senior business and technical leaders to shape AI/ML use cases, orchestrate cross‑functional teams, and launch solutions that deliver measurable business outcomes. Operating at the intersection of delivery, strategy, and growth, you will help define what great AI delivery looks like while scaling Snorkel’s Enterprise AI Solutions Practice. - Collaborate with data science and engineering teams to shape AI/ML use cases and translate them into well‑defined projects, including proposals and Statements of Work. - Lead the end‑to‑end delivery of enterprise AI projects, ensuring execution on time, within scope and budget, and aligned to business outcomes. - Manage comprehensive project plans and related artifacts to ensure successful delivery and compliance with contractual and financial targets. - Identify expansion opportunities through adjacent use cases, new stakeholders, and additional datasets where Snorkel can deliver outsized value. - Serve as the primary interface between client C‑suite, Snorkel’s technical teams, and Snorkel leadership, orchestrating multiple workstreams to deliver integrated outcomes. - Develop and continuously refine best practices, templates, and delivery frameworks to make engagements scalable and repeatable. Qualifications - 5+ years in a technical, client‑facing role (e.g., management consulting, professional services delivery, or customer success). - Strong background in project delivery and collaborative problem‑solving, ideally within AI/ML initiatives or involving standard AI technologies. - Proven ability to understand client objectives, design solutions, and identify value‑aligned growth opportunities. - Track record of overseeing a portfolio of engagements, balancing resources and timelines across multiple customer projects. - Excellent communication and presentation skills, with the ability to translate complex technical concepts for broad audiences. - Advanced degree preferred (MBA or Master’s in computer science, applied statistics, mathematics, or related field). - Willingness to travel up to 25% based on client needs. Benefits - Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. - Opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact ongoing success. - Support in building your career in an environment designed for growth, learning, and shared success. Company Description Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

• You will take the lead in driving the technical, operational and lifecycle of various manufacturing automation initiatives within the organization. • Innovate factory processes, concepts, and design to enable an ideal automated manufacturing process. • Work closely with factory teams to create and achieve OKRs for automation and continuous improvement programs. • Work with our factory team to draft requirements documents, develop concepts, and envision the automated manufacturing process. • Create Request for Quotation/Proposal (RFQ/RFPs) that documents the design requirements of the automated equipment, delivery schedule, required documentation and qualification for acceptance at machine supplier facility and our factory. • Engage with vendors to construct the machines, ensuring the system aligns with Dandy's specifications and standards. • Ensure vendors are conforming to Dandy’s ARS specs and requirements. • Approve vendor process, process flow and automation equipment design. • Design and execute FAT, SAT (acceptance testing) and commissioning of automation equipment/line into our factories. • Lead the initiative in integrating the newly built machines into the factory, working alongside engineers and manufacturing teams to ensure optimal operation. • Supervise and report OEE, Yield, manufacturing metrics (CpK, FMEA etc.) from automated systems. Interpret machine output metrics to drive improvement programs as appropriate. • Routine status reporting to executives and escalation of issues as needed. • Set bold targets and drive plans to achieve.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Redpanda is looking for a Staff Technical Program Manager to help drive the execution, delivery, and release of Redpanda’s products, with a focus on the Agentic Data Plane (ADP). In this role, you will not only lead complex, cross-team technical programs for ADP, but also drive and strengthen the end-to-end release process across Redpanda’s entire product portfolio, ensuring that we ship high-quality, predictable releases as our platform and organization scale. Redpanda’s Agentic Data Plane enables intelligent agents to autonomously access, reason over, and act on enterprise data in real time, while providing their human counterparts with the visibility and control to ensure and validate that they do so securely. - Drive execution of Redpanda’s most complex, cross-team initiatives, with primary focus on the Agentic Data Plane (ADP) - Lead end-to-end delivery and release execution across Redpanda’s product portfolio, ensuring consistent, high-quality, and predictable releases - Manage program plans, milestones, dependencies, risks, and trade-offs across multiple engineering teams and workstreams - Partner closely with Product Management, Engineering and GTM leadership to translate product strategy and technical direction into executable plans - Drive cross-functional coordination across Engineering, Product, QE, Security, Customer Success, Support, and GTM to ensure delivery and release readiness - Proactively identify and resolve execution risks, technical dependencies, and delivery blockers in a highly distributed systems environment - Maintain clear program and release visibility to stakeholders - Own and continuously improve release processes and operational best practices as Redpanda’s platform and organization scale - Support customer-facing commitments and launches, aligning delivery timelines with business and GTM priorities - Lead retrospectives and drive continuous improvement in program management, release execution, and cross-team collaboration Qualifications - 8+ years of experience in Technical Program Management, Engineering Program Management, or similar roles delivering complex enterprise or infrastructure software - Strong technical foundation in distributed systems, data infrastructure, and/or AI/ML platforms - Proven experience managing large, multi-team programs spanning multiple layers of infrastructure - Demonstrated ownership of release management or large-scale delivery processes across multiple products or teams - Ability to align diverse stakeholders, manage ambiguity, and drive execution in fast-moving, high-growth environments - Strong written and verbal communication skills - An ability to empathize with your fellow employees, designing and negotiating policies and procedures that enable needed business outcomes while minimizing friction and overhead - Comfortable working in a 100% distributed / remote environment Requirements - Background in security, policy, and governance systems relevant to enterprise data or AI usage (Nice to Have) - Prior experience scaling release processes in fast-growing or multi-product organizations (Nice to Have) Benefits - U.S. base salary range for this role is $200,000 - $235,000 (CA, NY, WA) and $190,000 - $224,500 (other US locations) - Remote-first company culture - Consideration of each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary Company Description Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Join Redpanda if you’d enjoy being part of a fast-moving, 100% remote organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.

• Establish order, structure, and efficiency across multiple workstreams • Drive organizational alignment by influencing stakeholders across engineering, product, operations, vendors, and executive leadership • Use Jira to build program-level dashboards, dependency maps, commit vs. actual views, and early-warning insights • Improve program efficiency by identifying operational gaps, reducing noise, streamlining processes, and unblocking teams • Lead executive-level updates with clarity, transparency, and fact-based storytelling • Navigate ambiguity and complex stakeholder dynamics with confidence • Act as the gatekeeper for new requests, ensuring roadmap integrity and escalating scope shifts when needed • Maintain deep understanding of program details (roadmap, sequencing, team roles, and technical constraints)