Route

Customer Success Manager

• Define and execute Route's Customer Success strategy, ensuring merchants realize long-term value from their partnership with Route
• Lead, coach, and develop a high-performing team of Customer Success Managers, fostering a culture of accountability, growth, and customer obsession
• Own key business metrics, including net revenue retention, renewals, expansion opportunities, and overall portfolio health
• Build and scale customer success programs, playbooks, and engagement models that support merchants across a range of segments and needs
• Partner with Revenue Operations to establish the processes, tools, and reporting needed to drive efficient execution and informed decision-making
• Serve as the voice of the customer, translating merchant feedback into actionable insights for Product, Marketing, and Operations
• Collaborate closely with Sales, Onboarding, Product, and Revenue leaders to create a seamless customer experience and identify growth opportunities
• Represent Customer Success in strategic planning and leadership discussions, helping shape Route's broader revenue and retention strategy

Director of Customer Success

Technical Product Manager

• Own the team’s roadmap end-to-end across backend platform systems, APIs, and data infrastructure, balancing reliability, platform enablement, and new capability development.
• Partner closely with engineering leadership to shape architectural direction, including API design, schema governance, and event-driven system patterns.
• Drive prioritization across cross-functional platform requests, helping establish scalable, durable solutions rather than one-off implementations.
• Collaborate with data and analytics teams to support warehouse and infrastructure needs, including decisions around event structures, identifiers, and data emission strategy.
• Lead product coordination during incident response, helping drive prioritization and decision-making when critical systems are impacted.
• Create clear technical documentation, including PRDs and architectural decision records, to support long-term system scalability and maintainability.
• Translate complex technical concepts and platform investments into clear business impact for cross-functional and executive stakeholders.
• Navigate complex tradeoffs across scalability, speed, reliability, and long-term platform health in a fast-moving environment.
• Contribute to a collaborative team culture through thoughtful communication, strong technical judgment, and a long-term mindset focused on building sustainable systems.

Senior Technical Product Manager

Manager

• Design and manage scalable compensation programs including base pay, commissions, bonuses, incentives, and SPIFs aligned to Route’s business goals.
• Lead administration and optimization of sales and customer success compensation plans, including modeling, forecasting, payouts, and performance analysis.
• Partner cross-functionally with Revenue Leadership, Finance, RevOps, HR, and Recruiting to support compensation strategy, budgeting, hiring, and retention initiatives.
• Conduct compensation benchmarking, analytics, and reporting to evaluate program effectiveness, market competitiveness, and pay equity.
• Own key compensation operations including merit cycles, bonus planning, commission rollouts, mid-year adjustments, and governance processes.
• Improve compensation systems, automation, and processes while maintaining a high level of accuracy, confidentiality, and operational excellence.

Revenue Compensation Manager

Sales

• Run multi-step, cross-functional workflows such as forecast hygiene, WBR prep, and compensation processing
• Own and administer sales compensation programs, including plan design support, attainment tracking, target management, and payout calculations in our compensation platform, such as Salesforce Spiff.
• Scope small-to-medium projects with clear requirements and timelines, from tool fixes and process changes to analytics updates
• Translate business needs into accurate technical requirements within our GTM tech stack and BI tools
• Design and maintain dashboards, reporting packages, and automated workflows with minimal oversight
• Proactively identify system or process issues before they escalate into business risks
• Partner with cross-functional stakeholders (Sales, Finance, CS, Marketing) to align on expectations and deliverables
• Communicate tradeoffs, risks, and timelines proactively to managers and stakeholders
• Partner with Enablement to create training materials and documentation that are adopted across teams
• Perform root-cause analysis across multiple components — data, process, and system logic
• Assist peers in systems outside your direct ownership when needed

Senior Sales Compensation Analyst

Financial Planning and Analysis

• Operational Partnership: Act as the dedicated finance partner for department leads and business partners broadly across the organization, imparting financial intelligence to drive cost efficiency gains and manage their spend envelope.
• Process Evolution: Act as the catalyst to mature and grow our FP&A muscle. Identify and implement tools to automate repetitive reporting, moving us toward a more real-time 'Continuous Accounting' environment.
• The Backbone: Own, manage, and administer our internal financial reporting, modeling, and forecasting tools which provide the scaffolding over which our financial insights and reporting are communicated.
• The Blueprint: Help facilitate the annual budgeting process and monthly rolling forecasts, ensuring alignment between departmental spend and our long-term strategic goals.
• Financial Intelligence: Dig into our data, analyzing key financial performance indicators (customer profitability, CAC, LTV, retention, etc). Translate, interpret, and communicate the key takeaways behind massive datasets into narratives that tell the story behind the numbers.
• Strategic Modeling: Build complex, dynamic financial models to evaluate new market entries, product launches, and capital allocation strategies.

FP&A Analyst

QA Automation Engineer

• Design, build, and deploy AI-powered workflows and agentic systems that automate complex, multi-step internal processes
• Identify high-impact opportunities for automation by partnering cross-functionally with teams across the organization
• Develop scripts, integrations, and system-to-system connections that enable seamless data flow and task execution
• Leverage LLMs and emerging AI tooling to create intelligent, scalable solutions that reduce manual work and increase efficiency
• Own projects end-to-end from discovery and design through implementation, testing, and iteration
• Deliver high-quality, production-ready code with the same rigor and standards as the broader engineering team
• Collaborate with Product, Data, and Engineering partners to prioritize, build, and continuously improve solutions
• Contribute to a culture of innovation, transparency, and direct feedback while exploring new ways AI can transform how we work

AI Automation Engineer

Data Engineer

• Build and maintain ELT pipelines that ingest data from systems.
• Co-own the mapping and migration of source data into the new 3NF EDW, ensuring data integrity, reducing redundancy, and maintaining automated unit and data tests.
• Develop data observability processes and monitoring dashboards to track pipeline health, freshness, and data quality across Databricks.
• Build new data and AI-powered tooling to improve the productivity of the data engineering team and broaden self-service data access for Route employees and external partners.
• Help harden the Integration Pipeline by automating deployment of shared staging and production infrastructure for new pipelines and managing dependency updates for dbt and CI templates.
• Support the full migration from Snowflake to Databricks, targeting completion by end of Q2 2027, including reporting services and ingest/egress jobs.
• Coordinate with engineering, analytics, product, and business teams to define and prioritize data requirements and ensure end-to-end data lifecycle coverage for existing and new products.
• Champion data democratization, help establish a company-wide data retention policy, and expand the foundation for a self-service Silver layer (EDW) that serves as a single source of truth.