Project Manager (Lifewave)

Tech9•Lehi, UT

2h•Hybrid

About The Position

Tech9 is supporting a global health and wellness company with an embedded delivery team focused on software development, AI enablement, and product execution. This engagement spans multiple active workstreams and is growing in both scope and strategic importance. This role serves as the primary delivery backbone, ensuring engineering teams execute with clarity, stakeholders remain aligned, and AI-driven initiatives are scoped and delivered with rigor. As internal product needs have expanded, this engagement is transitioning from a part-time coordination role to a dedicated, full-time on-site PM presence. This Scrum Master / Product Manager is a hybrid delivery leader responsible for driving execution, shaping product direction, and enabling AI-driven solutions across active workstreams. The role blends agile facilitation, product ownership, and program-level coordination to ensure teams deliver high-quality outcomes while aligning with broader organizational strategy. This is a full-time, client-embedded position requiring 3 days per week on-site in Draper, UT (9:00 AM–5:00 PM). The PM will report directly to Tech9’s client engagement lead (CC) and will serve as the day-to-day point of continuity between stakeholders and the Tech9 engineering team.

Requirements

5+ years of experience in product management, program management, or agile delivery roles within software development environments
Demonstrated experience as a Scrum Master or delivery lead for cross-functional engineering teams
Strong product ownership skills: backlog management, user story writing, acceptance criteria, and prioritization frameworks
Proven ability to manage multiple concurrent workstreams and stakeholders in a fast-paced, ambiguous environment
Excellent verbal and written communication skills across technical and non-technical audiences
High level of self-direction and accountability — comfortable operating without heavy oversight
Willingness and availability to be on-site in Draper, UT 3 days per week (9:00 AM–5:00 PM)

Nice To Haves

Experience supporting or delivering AI-powered product initiatives (LLM integrations, workflow automation, AI-native features)
Familiarity with health, wellness, or direct-sales business models
Prior experience in client-facing or client-embedded roles with evolving scope and high stakeholder expectations
Background working alongside engineering teams on modern web stacks (React, Node.js, cloud-based infrastructure, CMS platforms)
Experience managing stakeholder relationships at the director or executive level
Certification in agile methodologies (CSM, SAFe, PMP, or equivalent)

Responsibilities

Facilitate all sprint ceremonies: planning, standups, backlog grooming, and retrospectives
Remove blockers and drive team accountability across active engineering workstreams
Maintain delivery momentum and ensure clear prioritization aligned with business goals
Establish and uphold agile delivery standards across the team
Define and manage the product backlog, ensuring clarity and readiness of all work items
Translate business needs into well-formed user stories, acceptance criteria, and technical requirements
Partner with leadership and engagement leads to align product direction with strategic objectives
Balance short-term delivery priorities with long-term product vision
Serve as the primary on-site point of contact for stakeholders (including key business leads and department heads)
Facilitate alignment between stakeholders with competing priorities
Provide clear, proactive updates on progress, risks, and needs to leadership and engagement leads
Build and maintain trusted relationships across business and technical teams
Coordinate across multiple simultaneous initiatives, teams, and stakeholders
Track dependencies, risks, and delivery timelines across programs
Act as the central point of continuity for all delivery efforts
Ensure alignment between parallel workstreams including engineering, AI, and platform initiatives
Support the development and delivery of AI-driven solutions across the product ecosystem
Bridge technical AI initiatives with business use cases and measurable outcomes
Enable teams to adopt AI capabilities effectively through process design, tooling guidance, and workflow integration
Contribute to evolving AI delivery models and operational frameworks as this practice area matures
Work closely with engineering teams to understand architecture constraints and delivery trade-offs
Ensure technical decisions align with product requirements and delivery goals
Participate in solution design discussions and validate feasibility of proposed work
Maintain working familiarity with the technology stack to facilitate effective cross-functional dialogue
Coach team members on agile practices and delivery expectations
Support onboarding and knowledge ramp-up of new team members joining the engagement
Maintain continuity and institutional knowledge across the engagement as personnel evolve