Role Description Legrand has an exciting opportunity for a Product Manager to join the Data Center, Power, and Control Team. The Product Manager will lead the life cycle management of the Power product line, solve market problems, create value, and help delight customers with solutions to their data center power distribution and measurement requirements. This role is responsible for: - Market development of new and existing products into the existing business structure - Support pricing strategy - Travel with sales team - Initiate & respond to training requests for the new markets The Product Manager is expected to promote a positive attitude, demonstrate initiative, professionalism, personal awareness, integrity, and exercise confidentiality. This is a REMOTE position. Preferred locations - Somerset, NJ OR Reno, NV Salary Range - $115,000-$135,000 per year Benefits - Comprehensive medical, dental, and vision coverage - High employer 401K match - Paid time off (PTO) and holiday pay - Short-term and long-term disability benefit plans - Above-benchmark paid maternity and parental leave - Bonus opportunities in accordance with the Company’s incentive plans - Paid time off to volunteer - Active/growing Employee Resource Group network Company Description Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en . Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. For more information, visit legrand.us . The industry-leading brands of Approved Networks, Ortronics, Raritan, Server Technology, and Starline empower Legrand’s Data, Power & Control to produce innovative solutions for data centers, building networks, and facility infrastructures. For more information, visit www.legrand.us Equal Opportunity Employer

• Build and lead a high-performing team: Hire, coach, and develop a team of program and technical program managers across the technical-delivery, process-design, and strategy spectrum. • Own the integrated Revenue Operations roadmap: Intake, prioritize, and sequence work across systems delivery – Salesforce, CPQ, CLM, Billing, Forecasting, and Renewals. • Translate strategy into programs: Partner with Sales and cross-functional leaders to scope problems, build the business case, define success metrics, and lead delivery from kickoff through adoption. • Run the end-to-end delivery lifecycle: Lead complex system enhancements through requirements gathering, solution design with the Salesforce Systems team, UAT, enablement, change management, and post-launch measurement. • Drive change management: Own change management for process and system improvements within the Sales organization – ensuring teams are prepared, supported, and equipped with the resources and enablement they need to adopt new ways of working. • Develop the operating model: Define how Revenue Operations sees itself – instrument program health (first-pass yield, approval SLAs, quoting success rates, automation coverage, on-time delivery), publish it, and use it to drive decisions. • Lead complex, ambiguous initiatives: Structure problems tied to corporate strategy and long-term goals, mobilize the right cross-functional team, and bring each initiative to a clear decision. • Manage risk and communicate crisply: Identify dependencies, risks, and blockers early; develop mitigation strategies; and communicate program status to leadership through AVP+. • Deliver impactful reporting and results: Measure project outcomes, report out on the impact delivered, and drive continuous-improvement processes to achieve and maintain operational excellence. • Champion AI-forward ways of working: Apply AI tooling to accelerate intake, requirements, documentation, and analysis, and embed responsible-AI practices in how the team ships. • Champion, role model, and embed Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team – as we scale globally and across new offices.

Role Description As a Senior Manager, Product Data Science & Experimentation you will own the health, velocity, quality, governance, and organisational maturity of experimentation across Viator and Tripadvisor, while providing strong technical leadership from within the Product Data Science function. - Ensure experimentation is designed, executed, and interpreted in a consistent, high-quality way across the organisation. - Drive continuous improvement in velocity, adoption, and organisational capability. - Own the end-to-end experimentation operating system, including governance, standards, lifecycle, and quality controls across all experiments. - Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical validity, and metadata completeness. - Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or untested areas. - Establish a single source of truth for experimentation health, ensuring leadership can reliably understand what is being tested, where, and with what outcomes. - Partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align on priorities, resolve system-level issues, and improve experimentation execution. - Identify and eliminate systemic failure modes in experimentation design and execution, preventing recurring issues rather than repeatedly fixing them downstream. - Reduce reliance on central experimentation support by improving upstream experiment design quality and embedding correct behaviours into product teams. - Own experimentation literacy across the organisation, ensuring teams understand how to design, run, and interpret experiments correctly as part of normal product development. - Design and scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on reactive support or ad hoc guidance. - Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making and organisational learning. - Act as an escalation point for experimentation system health, ensuring issues are resolved quickly and do not persist across cycles. Qualifications - Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline. - Proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation. - Strong proficiency in SQL and Python. - Deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks. - Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems. - Strong understanding of product development and decision-making. - Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations without direct authority. - Experience improving experimentation velocity, quality, and adoption through structural interventions. - Strong ability to evaluate experiment design, statistical validity, and interpretation of results. - Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple teams. - Exceptional ability to communicate experimentation concepts clearly and confidently to technical and non-technical audiences. Requirements - Experience improving experimentation systems, governance, or operating models at scale. - Experience driving experimentation adoption across multiple product teams, domains, or brands. - Experience building experimentation frameworks, standards, or guardrails that improve quality and consistency. - Experience reducing organisational dependency on central experimentation or data science teams through better system design and self-service enablement. - Experience working in high-scale product environments such as marketplaces, e-commerce, or travel platforms. - Experience working in SaaS experimentation tools such as Statsig, Eppo, Growthbook, and others. - A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments. Company Description Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.

Role Description Symmetrio is recruiting for our client, an innovative healthcare technology company, for a Clinical Solutions Specialist – Radiation Oncology. In this highly collaborative, customer-facing role, you'll serve as the clinical bridge between radiation oncology providers and the product development team for an AI-powered oncology software platform. You'll work directly with physicians, dosimetrists, and clinical staff to understand how care is delivered from patient consultation through treatment planning. By building strong relationships with customers and earning clinical credibility, you'll gather workflow insights, demonstrate product capabilities, and translate customer feedback into actionable requirements for the product and engineering teams. This role is ideal for an experienced radiation oncology professional who enjoys working with people, solving workflow challenges, and influencing the future of healthcare technology. Responsibilities - Build trusted relationships with radiation oncologists, dosimetrists, therapists, and clinical care teams to understand their workflows and business needs. - Conduct workflow discovery sessions with customers to identify opportunities for product improvement and optimization. - Serve as the clinical expert during product demonstrations, customer meetings, implementations, and industry events. - Gather customer feedback and translate clinical workflows into detailed product requirements, workflow documentation, and user stories. - Collaborate closely with Product Managers, UX designers, and software engineers to ensure customer needs are reflected in future product enhancements. - Document physician workflows, decision points, and clinical processes to support product development and regulatory requirements. - Assist Sales by answering complex clinical questions and providing subject matter expertise throughout the sales cycle. - Partner with implementation teams during customer onboarding to ensure workflows are accurately captured and successfully adopted. - Validate new product functionality through user acceptance testing (UAT) and provide feedback prior to release. - Contribute to product documentation, workflow standards, and best practices for future customer implementations. - Represent the organization at radiation oncology conferences, customer advisory boards, and industry meetings. - Travel to customer sites to support discovery sessions, implementations, and relationship development. Qualifications - Bachelor's degree in a healthcare, clinical, or related field, or equivalent combination of education and experience. - 3+ years of clinical experience within U.S. Radiation Oncology. - Experience as a Medical Dosimetrist, Radiation Therapist, Registered Nurse (RN), Clinical Applications Specialist, Clinical Specialist, or similar radiation oncology role. - Strong understanding of physician consult workflows, treatment planning, oncology documentation, and radiation oncology operations. - Outstanding interpersonal and communication skills with the ability to build credibility with physicians and clinical leadership. - Ability to translate clinical conversations into structured workflow documentation and product requirements. - Experience supporting healthcare technology, clinical software, EMRs, or oncology information systems is preferred. - Comfortable collaborating with cross-functional teams, including Product Management, Engineering, Sales, and Customer Success. - Strong organizational and analytical skills with excellent attention to detail. - Willingness to travel approximately 30–50% to customer sites, conferences, and team meetings, including occasional international travel. Benefits - Competitive base salary and performance incentives. - Comprehensive Health Care Plan (Medical, Dental & Vision). - 401(k) Retirement Plan with company match. - Generous Paid Time Off (Vacation, Sick Leave & Holidays). - Flexible remote work environment. - Professional development and career growth opportunities. - Opportunity to work alongside industry-leading clinicians while helping shape next-generation AI-powered radiation oncology software.