CSC Generation

Engineering Manager

• Lead, coach, and develop a team of engineers; provide continuous feedback, career development support, and performance management.
• Foster a culture of ownership, operational excellence, and continuous improvement.
• Hire, onboard, and retain top engineering talent; build a high-trust, high-performance team.
• Own end-to-end delivery: scoping, planning, execution, release readiness, and post-release measurement/iteration.
• Partner with Product to manage the team backlog, clarify requirements, define success metrics, and ensure the team is focused on the highest-value work.
• Drive healthy agile practices (grooming, estimation, prioritization) and continuously improve predictability and throughput.
• Provide technical direction and oversight: system design, architecture decisions, design reviews, and non-functional requirements (performance, scalability, security).
• Maintain a strong technical skillset and contribute where appropriate (reviews, design, incident support, occasional hands-on contributions).
• Champion simplification/modernization by identifying tech debt, legacy risks, and opportunities to improve maintainability and system efficiency.
• Own reliability for the team’s services: monitoring, alerting, incident response, and post-incident learning (RCA/postmortems).
• Monitor system performance and proactively identify “damage indicators” before they become customer-impacting issues.
• Ensure high-quality technical documentation (TRDs, diagrams, flowcharts, runbooks) and knowledge transfer to support scale and onboarding.
• Demonstrated experience using AI tools to improve developer productivity, code quality, and delivery.
• Establish team practices for safe and effective AI usage (code review standards, security/privacy considerations, validation/testing expectations, and “trust but verify” culture).
• Encourage engineers to use AI tools to accelerate discovery/POCs, troubleshoot incidents, and reduce toil, while ensuring maintainable, secure, well-tested outputs.

Manager

• Define and execute a multi-year strategy across ski, snowboard, and backcountry hardgoods
• Leverage a strong understanding of the global vendor and brand landscape to identify opportunities and trends
• Translate regional customer needs (e.g., East vs. West mountains) into assortment strategies
• Drive top-line growth, gross margin, sell-through rate, and inventory productivity in partnership with Inventory Planning and Finance
• Build tiered assortments that serve multiple customer segments across price points and expertise levels
• Curate a balanced mix of full-price, off-price, and closeout product to maximize lifecycle value
• Lead end-of-season closeout buying strategies to optimize turns and minimize risk; understand the closeout buys have to be done at the end of the season to secure product that won’t be available once retailers have committed to the inventory. Partner with Inventory Planning and Finance to align on OTB and receipt timing and payment structure of the buys.
• Ensure assortments drive units per transaction (UPT) through thoughtful cross-category integration
• Develop and deepen strategic partnerships with key ski and snow brands through on-site vendor meetings, frequent business reviews, product testing, and new product reviews.
• Lead business development initiatives with vendors to unlock exclusive opportunities
• Create SMUs and exclusive assortments that differentiate Backcountry from competitors
• Maintain a strong pulse on competitive positioning and brand strategies
• Champion end-to-end customer journey across digital and retail touchpoints
• Partner with teams to build and scale demo fleet and seasonal rental programs
• Ensure seamless integration of hardgoods with accessories, travel gear, and related categories
• Partner closely with Inventory Planning to align open-to-buy, manage receipt flow, and optimize in-season reorder and markdown decisions across a highly seasonal business
• Collaborate with Finance, Marketing, and Digital/UX teams to align category investments with financial targets, campaign timing, and on-site merchandising execution
• Leverage sell-through data, digital conversion metrics, and customer demand signals to inform assortment decisions, identify risk, and surface opportunities in real time
• Lead, coach, and develop a high-performing merchandising team
• Establish clear goals aligned to business outcomes and hold teams accountable
• Foster a culture of ownership, innovation, and continuous improvement

Divisional Merchandise Manager, Ski & Snow Hardgoods

People Operations

• Design and build an AI-native HR function: create systems that use AI to continuously improve workforce planning, performance management, and talent development.
• Architect intelligent talent infrastructure: develop capabilities including AI-driven skills mapping, internal mobility systems, and dynamic compensation modeling.
• Deploy AI across the employee lifecycle: integrate AI and automation into onboarding, performance management, and organizational design.
• Translate AI capability into business outcomes: identify high-leverage opportunities where AI can improve decision quality, organizational speed, and workforce effectiveness.
• Lead and develop the People Operations team, fostering a culture of experimentation, ownership, and operational excellence.

Head of People Operations

Financial Planning and Analysis

• Drive annual budget process across all channels and departments.
• Lead the monthly forecast process, proactively identifying forecast opportunities and risks.
• Identify and implement process improvements with an AI-first mindset, reimagining the way the team works to drive efficiencies and better insights.
• Develop strong partnerships with business leaders to understand key operational drivers and deliver clear, actionable financial insights.
• Partner with Business Development to provide financial modeling and analysis on new business opportunities.
• Support fleet management with financial analysis, including ROIC analysis on capital investments.
• Leverage technology to evaluate and extract data that informs decision-making.
• Build, lead, and develop an efficient, high-performing FP&A team.

Director, Financial Planning – Analysis

Director, Financial Planning & Analysis

Sales

• Serve as a revenue execution leader with “rainmaker” credibility — modeling the behaviors required to win large, complex B2B deals
• Translate existing growth strategy into disciplined, repeatable team execution
• Drive structured pipeline management and enforce CRM rigor and forecasting accuracy
• Increase per-rep productivity through clear activity standards, performance tracking, and coaching
• Personally step into high-value or at-risk deals when needed to secure outcomes
• Raise the performance bar by setting clear expectations for outreach volume, conversion quality, and close rates
• Ensure consistent enforcement of process, not just creation of process
• Lead, coach, and develop a team of 5–8 Group Sales Account Managers
• Drive a high-performance, accountable, results-oriented sales culture
• Conduct structured 1:1s, pipeline reviews, and deal strategy sessions
• Provide direct coaching on outbound prospecting, objection handling, pricing strategy, and closing
• Own and materially increase total revenue contribution from the Group Sales channel
• Drive predictable performance through structured pipeline reviews and deal inspection
• Improve per-rep output through accountability, coaching, and performance management
• Identify performance gaps quickly and implement corrective action plans
• Ensure disciplined enforcement of sales methodology, pricing strategy, and negotiation standards
• Maintain personal credibility by continuing to engage in complex, strategic deal-making
• Implement and oversee AI-driven workflows to increase productivity and deal velocity
• Write clear prompts, validate outputs, and iterate based on rep feedback
• Drive consistent adoption of tools that improve quality and efficiency
• Partner with merchandising, operations, and vendor teams to support inventory planning and special orders
• Ensure seamless execution and high-quality service for business accounts
• Help shape long-term strategy for Group Sales within broader brand initiatives

Head of Sales

Operations

• Lead Backcountry's retail organization, holding full accountability for store performance, culture, talent, and P&L across all locations.
• Serve as the primary liaison between stores and all corporate functions.
• Set ambitious goals, drive accountability at every level, and build a high-performing, customer-centric organization.
• Own retail P&L — budgeting, forecasting, payroll, inventory, and operational efficiency.
• Drive top-line sales growth and bottom-line profitability with a data-informed approach.
• Define clear KPIs, equip teams with the right tools, and drive consistent achievement of goals.
• Recruit, develop, and retain top talent with a focus on high performance and succession planning.

Head of Retail Stores – Operations

Marketing Operations

• Lead quarterly and monthly marketing planning cycles
• Translate strategy into sequenced, scoped marketing plans
• Establish prioritization frameworks and define levels of effort
• Surface trade-offs and feasibility risks early
• Own accountability for the final marketing plan
• Own marketing-level financial planning and forecasting
• Align investment to business drivers and growth priorities
• Model capacity assumptions and identify constraints
• Partner with Creative Operations to align planning with production reality
• Consolidate inputs across Integrated Marketing, Channels, Merchandising, Stores, and Digital
• Provide visibility across concurrent initiatives
• Prevent portfolio conflicts and sequencing breakdowns
• Escalate unresolved conflicts to VP/SVP when necessary
• Sequence marketing priorities
• Define planning frameworks
• Establish feasibility guardrails
• Model trade-offs and escalate blockers
• Focus on marketing planning & portfolio prioritization
• Engage in annual planning cycles where operational strategy & governance are key

Senior Manager, Marketing Operations

Brand Manager

• The Integrated Brand Marketing Manager – Retail & Services is responsible for developing and executing integrated marketing strategies that elevate Sur La Table’s in-store experiences, retail programs, and service-led offerings.
• Reporting to the Sr. Manager of Integrated Marketing this role owns the development of the what for Retail & Services initiatives shaping customer-led strategies that connect store experiences, services, and moments of need to brand equity, engagement, and commercial outcomes, within the integrated GTM framework.

Integrated Brand Marketing Manager – Retail, Services

• Develop integrated marketing strategies for retail programs, store-led initiatives, and customer services within enterprise and Hard Goods GTM priorities defined by the Director of Integrated Marketing.
• Translate customer behavior, store insights, and service needs into focused strategies that support traffic, engagement, and conversion.
• Ensure Retail & Services storytelling reinforces brand consistency while delivering measurable business impact.
• Develop and own integrated briefs for Retail & Services initiatives once prioritized through the integrated intake and GTM process, including seasonal programs, service launches, evergreen retail experiences, and in-store storytelling.
• Translate Retail, Store Ops, and Services insights into clear, actionable briefs that guide creative and channel execution.
• Partner with Creative, Social, PR, Site & Digital, Email & SMS, and Store Ops to align messaging, timing, and execution.
• Ensure Retail & Services initiatives ladder up to broader Hard Goods and brand priorities.
• Serve as the primary day-to-day marketing partner to Retail, Store Operations, and Services teams.
• Partner with the Director of Integrated Marketing to ensure Retail & Services needs are surfaced, aligned, and delivered through the integrated GTM plan.
• Collaborate with Marketing Ops to align plans with timelines, budgets, capacity, and executional feasibility.
• Partner with Creative to ensure retail and service strategies are translated into compelling, platform-appropriate storytelling.
• Support quarterly and seasonal GTM planning with a Retail & Services lens.
• Support prioritization of initiatives based on customer impact, brand equity, and commercial opportunity, in partnership with the Director of Integrated Marketing.
• Ensure retail and services storytelling integrates seamlessly across digital, social, email, and in-store experiences.
• Track performance of Retail & Services initiatives in partnership with Marketing Ops.
• Use insights to optimize future planning, storytelling, and customer experience design.
• Identify opportunities to strengthen alignment between digital storytelling and physical store execution.

Data Scientist

• Lead the design and development of ML systems that solve complex, ambiguous business problems
• Make sound technical decisions on model architecture, evaluation methodology, and tradeoffs
• Set standards for model validation, testing, and monitoring across the team
• Identify when "good enough" is appropriate vs. when deeper investment is warranted
• Debug and troubleshoot models that fail in production - understand why they fail, not just that they fail
• Frame business problems as well-defined ML tasks with clear success criteria
• Build robust predictive models (classification, regression, time series, causal inference)
• Implement rigorous train/validation/test methodology to ensure real-world generalization
• Identify and prevent data leakage, overfitting, and other failure modes before they reach production
• Define metrics that align model performance with actual business outcomes
• Conduct holdout testing on true out-of-sample data - recognize when CV metrics are misleading
• Design and analyze experiments to measure causal impact
• Communicate model limitations, uncertainty, and risk to technical and non-technical stakeholders
• Partner with product, engineering, and business teams to ensure ML solutions solve real problems
• Translate complex technical concepts into actionable recommendations for stakeholders
• Contribute to hiring and technical interviews

Engineering Manager

Divisional Merchandise Manager, Ski & Snow Hardgoods

Head of People Operations

Head of People Operations

Director, Financial Planning – Analysis

Director, Financial Planning & Analysis

Head of Sales

Head of Retail Stores – Operations

Senior Manager, Marketing Operations

Integrated Brand Marketing Manager – Retail, Services

Integrated Brand Marketing Manager – Retail, Services

Staff Data Scientist