• Maintain and improve delivery visibility across complex, dependency-heavy work by tracking cross-team blockers, integration risks, and upstream/downstream exposure • Model the impact of scope changes, timeline shifts, and capacity constraints by presenting structured options with clear trade-offs to decision-makers • Drive backlog readiness discipline, ensuring work entering execution is well-defined and dependency-mapped before it starts • Identify and actively manage delivery risk through surfacing issues proactively, quantifying impact, and framing resolution paths for engineering and product leadership • Maintain and improve delivery operating norms that reduce rework, carryover, and execution variability over time • Leverage AI tooling to accelerate operational work, including status synthesis, risk narrative generation, and backlog readiness summarization, while maintaining human judgment on prioritization and stakeholder framing decisions. • Influence engineer and product manager behavior through structure and data by driving accountability and shared clarity on delivery commitments • Frame delivery trade-offs clearly by presenting structured options with explicit implications on timeline, quality, and capacity • Partner with Product Managers to enforce readiness standards and protect delivery integrity when scope pressure mounts • Communicate delivery feasibility and confidence clearly to the engineering team and partnering Project Managers by providing early warning when assumptions change and surfacing recovery options when they do • Socialize production release schedules in advance with the development team, Product Manager, and relevant change advisory processes ensuring the team is prepared for releases • Maintain working fluency in the technical systems your team supports through a solid understanding of integration surfaces, API dependencies, and release risk in context • Coordinate across engineering, QE, architecture, and platform teams to manage cross-functional dependencies and resolve blockers at the right level • Apply delivery metrics (i.e. cycle time, throughput, carryover, predictability) as operational signals that drive structural change in how the team works • Manage a Kanban-based delivery system for a team handling a mix of planned work and high-priority operational demand • Balance intake discipline with responsiveness by maintaining flow efficiency while protecting planned delivery commitments from reactive work pressure • Model WIP impact and context-switching costs to protect team throughput and focus • Maintain and improve intake and triage processes that bring structure to interrupt-driven work without creating bureaucratic overhead • Monitor Kanban flow metrics (i.e. lead time, cycle time, and queue depth) to identify bottlenecks and maintain healthy throughput • Coordinate with dependent teams and platform consumers to maintain demand visibility and set clear expectations proactively • Manage sprint cadence and iteration health across one or more engineering teams with a focus on commitment reliability and sprint goal integrity • Enforce sprint entry discipline by ensuring stories meet sizing and readiness standards before planning begins, and holding the line when they don’t • Track and improve sprint predictability using carryover, velocity trends, and planning accuracy as signals to adjust how the team operates • Manage scope pressure during active sprints through modeling the impact of additions or changes and presenting clear trade-off options to the Product Manager before commitments shift • Maintain cross-sprint dependency visibility across teams or workstreams, identifying what is at risk and when • Run retrospectives as structured operational reviews by identifying systemic delivery friction and driving follow-through on changes

• Provide technical and strategic leadership across manufacturing support, commercialization, quality improvement, and continuous improvement initiatives. • Lead complex cross-functional initiatives that impact multiple manufacturing locations and co-manufacturing partners. • Identify opportunities to improve yields, reduce costs, increase scalability, and strengthen product quality. • Develop and grow a high-performing R&D team while establishing priorities, processes, and technical standards. • Operate with a high degree of autonomy, influence decisions across functions, and serve as a trusted technical leader throughout the organization. • Lead commercialization efforts from concept through full-scale production. • Oversee complex plant trials, scale-ups, and process validations across multiple manufacturing locations. • Provide technical leadership and support for manufacturing and co-manufacturing partners. • Drive initiatives focused on improving yield, throughput, labor efficiency, and overall equipment performance.

• Own the full UGC lifecycle for assigned accounts—sourcing, briefing, reviewing, editing, and delivering content. • Serve as the primary client-facing lead, presenting UGC strategies, and creative examples that communicate clear value. • Develop strategic frameworks and creative briefs outlining content goals, audience targeting, and success metrics. • Ensure content compliance with legal, licensing, brand, and platform guidelines (Meta, TikTok, YouTube). • Support live shopping initiatives across platforms. • Coordinate creator outreach, negotiation, onboarding, and training to align on brand tone, visual standards, and campaign objectives. • Build and maintain strong creator relationships to support long-term collaboration and consistent output. • Track and analyze organic and paid UGC/TikTok performance, identifying trends, hooks, and formats driving engagement and conversions. • Prepare and present performance reports to clients and internal stakeholders, emphasizing insights that inform creative direction and ROI. • Partner with creative, paid media, and account management teams to align UGC strategy with broader campaign goals. • Produce UGC-style content for Lunar's sales team. • Build and maintain an internal library of categorized, reusable UGC assets for future campaigns.

• Build the Deal Desk function from the ground up, including frameworks, tools, and processes that enable accurate forecasting and revenue attribution. • Partner closely with Sales, RevOps, Legal and Finance to validate pipeline data and ensure that deal values reflect consistent logic tied to each nonprofit’s actual or expected donation volume. • Develop and maintain a standard methodology for deal value estimation, leveraging internal benchmarks, historical data, and donation behavior patterns. • Implement controls and reporting to identify discrepancies between sales pipeline, donation data, and realized revenue. • Support forecast accuracy and board-level reporting, ensuring alignment between CRM pipeline and financial models. • Collaborate with Product and Data teams to improve data sources and visibility into nonprofit donation flows. • Advise GTM leadership on pricing and structure of high-impact or complex deals. • Build scalable documentation and training to ensure consistent use of Deal Desk processes across the GTM organization.