About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8 years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $130,000 to $160,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

THE ROLE

The Business Systems Analyst, Legal Operations will design, optimize, and support the systems and workflows that power our global Legal function. This role translates Legal and business objectives into scalable processes, data models, and technology solutions—enabling higher productivity, better decision-making, and responsible use of automation and AI across the Legal portfolio.

You will partner closely with Global Legal Ops & Enablement (GLOE), Legal practice groups, Finance, HR, DTG/IT, and external vendors to build and maintain an integrated ecosystem (e.g., ServiceNow Legal Service Delivery, CLM/CM, knowledge/AI tools, matter management, e‑billing and reporting).

WHAT YOU'LL DO

Strategy & Business Partnership

• Partner with Legal and business leaders to understand goals, pain points, and priorities; translate them into clear system and process requirements.

• Map end‑to‑end Legal workflows (intake, triage, self‑service, assignment, execution, closure, and analytics) and identify opportunities for standardization, automation, and risk reduction.

• Help shape the Legal technology roadmap, including trade‑offs across “run-the-business” enhancements and “change-the-business” initiatives.

Solution Design & Delivery

• Translate high‑level requirements into detailed user stories, process flows, acceptance criteria, and test plans.

• Work with DTG/IT, vendors, and Legal stakeholders to design solutions that are scalable, secure, and aligned with corporate architecture and data governance standards.

• Support configuration and integration work across platforms (e.g., ServiceNow, CLM, Salesforce, knowledge/AI tools) in partnership with technical teams.

• Coordinate and execute functional testing, UAT, and defect triage, ensuring high‑quality releases.

Data, Reporting & Analytics

• Define and maintain metrics and dashboards for Legal (e.g., intake volume, cycle times, SLA performance, self‑service adoption, NPS/CSAT, AI‑enabled use cases).

• Partner with Finance, FP&A, and Legal leadership on data sets that support budgeting, resource planning, and portfolio prioritization.

• Ensure data quality and integrity across systems, including master data, matter metadata, contract metadata, and knowledge objects.

Change Management & Enablement

• Develop and execute change management plans (communications, training, documentation, office hours) to drive adoption of new tools and processes.

• Create and maintain playbooks, knowledge articles, and self‑service content for Legal and business users.

• Gather feedback post‑launch, monitor performance against expected outcomes, and iterate to improve.

Run-the-Business Operations

• Own and prioritize the enhancement and defect backlog for key Legal systems in partnership with product owners and service owners.

• Triage incoming requests, ensuring clear scope, impact assessment, and alignment to roadmap and capacity.

• Act as a Level 2/3 point of contact for complex issues, coordinating with DTG/IT and vendors to resolve them.

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA or Lehi, UT office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 4+ years of experience in Business Systems Analysis, Business Operations, or Program Management in a technology‑driven environment; Legal Operations or G&A experience strongly preferred.

• Proven track record translating business requirements into system designs, user stories, and testable acceptance criteria.

• Demonstrated experience with one or more of the following:

• ServiceNow (ideally Legal Service Delivery or other G&A modules)

• Contract lifecycle management (CLM) or matter management platforms

• Salesforce or other enterprise SaaS platforms

• Knowledge management and/or AI‑enabled workflows (search, summarization, drafting, classification, etc.).

• Strong process design and documentation skills (BPMN or similar), including running workshops, mapping current/future‑state, and identifying automation opportunities.

• Solid data and analytics skills: able to define KPIs, design dashboards, and interrogate data for trends and root causes; experience with modern analytics stack (e.g., Snowflake for data warehousing and Tableau for visualization).

• Experience working in cross‑functional, matrixed organizations with IT, Finance, HR, Sales Ops, or similar partners.

• Excellent communication skills, with the ability to tailor messaging for attorneys, executives, technical teams, and end users.

• Comfort managing multiple projects and stakeholders in a fast‑paced, high‑growth environment.

Preferred Experience

• Prior experience working in or closely with a corporate Legal department (e.g., Legal Operations, Compliance, Privacy, IP, Commercial, Employment, Litigation).
• Hands‑on experience with ServiceNow configuration in a business/system analyst or product owner capacity.
• Background in legal tech, process improvement, or shared services (e.g., G&A transformation, ticketing/intake systems, workflow automation).
• Familiarity with change management frameworks (e.g., Prosci/ADKAR) and training design.
• Experience supporting or implementing AI/automation initiatives in a controlled, governance‑driven way.

Lehi Salary Range: $89,000 - $134,000

Santa Clara Salary Range: $126,000 - $189,000

#LI-TH3,  #LI-ONSITE

The Role

Analytics Engineering at Flex sits at the intersection of Data, Product, Engineering, and business objectives. As Director, Analytics Engineering you will run the team that enables stakeholders at Flex to easily find the data they need to make decisions. You’ll be responsible for developing a world-class analytics platform that powers all data consumption at Flex, as well as managing and developing a team of high-performing Analytics Engineers. You'll also be hands-on, leveraging your technical skills to develop data models and build better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product.

You Will:

• Develop and lead strategy for data modeling platform and team roadmap
• Manage and mentor a team of Analytics Engineers
• Collaborate with leaders across product & engineering teams to define data requirements and inform architecture/schema design decisions
• Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
• Collect business requirements, define successful analytics outcomes, and design data solutions
• Set company-wide standards for data regarding structure, quality, and expectations
• Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way

You Have:

• 8+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
• Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
• Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
• Expert proficiency with dbt, dbt Cloud, and Airflow
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
• Proficiency with Python preferred
• Experience within the fintech space preferred

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area.  

Tier A (NYC/SF/Seattle): $240,000-290,000
Tier B (Austin, Washington D.C. Philadelphia, Los Angeles, San Diego, Chicago, Miami, Atlanta : $215,000-265,000
Tier C (SLC/All Other States): $200,000-250,000

Offices

Roles posted in New York, San Francisco, or Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

We Are Route

When shoppers hit "buy," a great customer experience doesn’t end, it’s just getting started. For too long, everything after checkout has been the weakest link in ecommerce: confusing tracking, lost or damaged packages, clunky returns, and missed opportunities to turn first-time buyers into lifelong fans. That's why we built Route.

Our mission is simple: we create shopper confidence that fuels brand growth. Route is the leading post-purchase platform for modern ecommerce, trusted by thousands of brands and protecting more than $20 billion in gross merchandise value to date. From package protection and industry-leading order tracking to returns and exchanges, cash back loyalty, and engaging product recommendations, Route brings every moment after checkout into one powerful platform, empowering shoppers with visibility and peace of mind while giving merchants loyalty that lasts well beyond the first sale.

Since launching in 2018, Route has raised over $250 million from leading investors including Craft Ventures, Hedosophia, and Hanaco Ventures, and has grown into a complete post-purchase ecosystem loved by millions of shoppers and the brands they buy from. Throughout that growth, we've stayed committed to building innovative products that empower our customers and to fostering a people-first, values-driven culture that makes Route a place where great work and great people thrive.

We're looking for talented people across the ecommerce space to join us on the next chapter of this adventure. Don't just take our word for it, Discover what life at Route has to offer.

The team

Joining Route's RevOps team means joining a group of curious, driven operators who believe the future of revenue operations is being written right now, and we intend to write it. We pair a people first culture with a relentless commitment to AI innovation, using tools like Claude to eliminate friction, move faster, and make smarter decisions across the entire Revenue  motion. We don't just adopt new technology; we find ways to make it work harder than anyone thought possible. 

The opportunity

As a Revenue Operations Sr. Specialist, you'll own and operate critical GTM processes across systems, reporting, and sales compensation. You'll manage multi-step workflows that span multiple stakeholders, translate business needs into technical requirements, and deliver high-quality work with minimal oversight. This is a high-impact, high-visibility role where you'll proactively identify issues before they become business risks and help keep our revenue engine running smoothly.

What you’ll do

• 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

What we’re looking for

• Core Skills & Experience

  • 3–5 years in Revenue Operations, Sales Operations, or a related GTM operations role, with a significant portion of that time spent in a hands-on compensation function
  • Deep, day-to-day ownership of sales compensation — this means building and maintaining comp plans, managing quota cycles, calculating attainments, reconciling commissions, and resolving disputes at the rep level. Familiarity with comp theory is not enough; we need someone who has done the work
  • Direct ownership or heavy administration of a compensation platform such as Spiff, CaptivateIQ, Xactly, or equivalent — you should be able to configure plans, build logic, and troubleshoot without relying on a vendor or another team
  • Ability to partner closely with Finance, HR, and Sales Leadership to ensure comp plans are accurately modeled, documented, and paid on time
  • Strong Salesforce experience, including object relationships, workflows, validation rules, and dashboards — compensation data lives in SFDC and you'll need to navigate it fluently
  • Solid understanding of GTM workflows including routing, quote to cash, forecasting, renewals, and cross-functional handoffs
  • Experience with BI tools such as Looker or Tableau for attainment reporting and operational insights
  • Ability to identify operational gaps, connect data across systems, and anticipate downstream impacts — especially in compensation logic where errors have direct rep impact
  • Clear, structured communicator who can translate complex comp mechanics to non-technical stakeholders and hold a high bar for accuracy and timeliness
  
  

  GTM Knowledge

  • Strong understanding of GTM workflows, routing, quote-to-cash, forecasting, attribution, renewal flows, and SDR → AE → CSM handoffs
  • Able to anticipate operational dependencies across GTM teams and proactively address gaps
  • Can speak in depth about how system or process changes impact downstream teams
  • Understands Route's products and can articulate the value proposition at an advanced level

  Communication & Leadership

  • Clear, concise, professional and influential communicator who can lead cross-functional conversations to define requirements
  • Provides structure and organization in complex discussions; facilitates meetings with clear agendas and outcomes
  • Synthesizes information from multiple teams and communicates it effectively to stakeholders
  • Offers feedback to peers and guides others through processes
  • Treats everyone with respect
  • Delivers high-quality work without requiring senior review

Equal opportunity for all

Route is an Equal Opportunity Employer. We embrace diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Total Rewards

We know our team works best when everyone feels happy, healthy, and supported. We offer to pay 95% - 100% of your health insurance premiums for you and your family, remote or hybrid work arrangements, unlimited PTO, 401k matching, formalized growth opportunities, learning & development, DEI programs & events, and so much more.

Pay Transparency

Salary for this role: $132,000 - $140,000

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Route’s bonus plan for eligible roles. In addition to cash compensation, all Route employees are eligible to participate in Routes equity incentive plan to receive stock options per the terms of the agreement. Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

ABOUT THIS ROLE

As a Revenue Operations Analyst, you will be the architectural mind behind LVT’s revenue modeling and GTM forecasting. Sitting at the intersection of Sales, Marketing, and Customer Success, you will translate complex datasets into high-leverage executive decisions. We are looking for a strategic thinker who views the business through the lens of pipeline coverage, conversion rates, and quota capacity. Your work will directly influence how we scale our operations and identify growth opportunities within our rapidly expanding intelligent site platform.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

• Revenue Modeling: Build and maintain sophisticated models for forecasting, pipeline coverage, and quota capacity planning to ensure predictable growth.
• Strategic Scenario Planning: Develop sensitivity models to evaluate the impact of pricing changes, product mix, discounting, and attach rate scenarios.
• Funnel Optimization: Conduct deep-dive analyses of funnel conversion rates to identify and mitigate revenue leakage across the customer journey.
• Executive Reporting: Translate raw data into clear, actionable executive recommendations and performance narratives for GTM leadership.
• Annual Planning: Partner with RevOps leadership on territory strategy, sales capacity planning, and annual GTM goal setting.
• Trend Analysis: Analyze performance trends across various sales stages, verticals, and product lines to highlight areas of excellence or needed adjustment.
• Data Integration: Aggregate data across Salesforce and internal systems to build unified, "single source of truth" revenue views.
• Cross-Functional Collaboration: Partner with the Data team to ensure reporting is scalable and aligns with broader company-wide data frameworks.

OUR IDEAL CANDIDATE

• Experience: 2–4 years of experience in Revenue Operations, Sales Operations, or a highly analytical GTM role.
• Technical Proficiency: Advanced modeling skills in Excel or Google Sheets; you should be comfortable building complex, multi-variable workbooks.
• Salesforce Expertise: Hands-on experience navigating Salesforce data architecture, including accounts, opportunities, and pipeline stages.
• Analytical Rigor: A demonstrated ability to analyze revenue funnels and conversion metrics to derive meaningful business insights.
• Strategic Communication: The ability to structure ambiguous business questions into logical frameworks and present findings clearly to non-technical stakeholders.
• Systems Thinking: Familiarity with modern data stacks, including Snowflake, SQL, or BI tools like Tableau (preferred).
• Industry Knowledge: Experience in GTM planning, territory strategy, or SaaS/hardware-enabled software revenue models (preferred).
• Self-Starter Mentality: A "scrappy" approach to problem-solving, with the ability to own projects from data collection to final presentation.

About the Role

Podium is looking for a Performance Marketing Manager to own and scale its digital advertising program (including Meta, Google) for vertical SMB audiences.This person will help us deliver on performance targets for established campaigns on Meta and Google, as well as prove out new channels, taking ownership of budget, creative strategy, CRO, audience testing, bidding, and full-funnel performance. This is a high-visibility, building role perfect for a performance marketing expert who is motivated to take ownership of a nascent paid, social-led program and build it into a highly performant, cost-effective growth lever for Podium. Someone who thrives in this role moves at high velocity, operates with extreme ownership, and is adept at getting things done autonomously. This person brings analytical rigor and methodical thinking to strategy and execution. They are just as comfortable in the weeds hands-on-keyboard, going account by account with sales to troubleshoot lead quality issues or stalled deals, as they are building and communicating strategy and a roadmap.

What you'll be doing

• Own performance end-to-end. Drive pipeline and revenue against vertical SMB targets across Meta and Google (branded). You own the budget, the strategy, and the number.
• Build, don’t maintain. Stand up evergreen programs from a nascent starting point and prove out new verticals, audiences, and channels through structured pilots.
• Lead creative strategy and execution. Concept, brief, and actively create or edit ad creative (CapCut, AI tools, UGC, testimonials) to maintain high creative velocity. Run a structured testing framework across hooks, formats, messaging, and audiences.
• Optimize the full funnel. Continuously tune bidding, targeting, landing pages, and CRO. Diagnose conversion at every stage from lead to MQL to pipeline to revenue.
• Get in the weeds with sales. Work account by account to troubleshoot lead quality, unblock stalled deals, and creatively solution around where the program needs a push.
• Bring analytical rigor. Build your own dashboards and pivot tables. Distill complex performance data into clear, executive-ready narratives for leadership and finance stakeholders.
• Document and scale what works. Turn one-off wins into repeatable plays. Write things down. Share learnings broadly.

What you should have

• 4–7+ years of performance/growth marketing experience, with at least 3 years directly managing paid social campaigns hands-on-keyboard (Meta required; LinkedIn, TikTok, Reddit, YouTube a plus)
• B2B experience strongly preferred. You understand the nuances of pipeline, MQL→SQL conversion, sales-led close motions, and multi-touch attribution
• Track record of building paid social programs from the ground up, not just optimizing mature ones
• Expertise in the mechanics of media buying: targeting, creative launches, ad operations, testing structures, incrementality, and campaign diagnostics
• Highly proficient in analytics tools (Looker, Tableau, Excel/Sheets; SQL a plus). You build your own pivots and dashboards to find insights, not wait for them
• Strong creative instincts. You can brief creative, edit creative, and recognize what will perform before it runs
• Excellent communicator who can distill complex data into strategic insights for executive and finance stakeholders
• Bias toward action. You’d rather ship a v1 test today than perfect a brief for two weeks
• Comfortable getting in the weeds with sales: troubleshooting accounts, working leads, and helping close deals where the program needs a push
• Hands-on experience implementing and troubleshooting MarTech tracking (pixels, server-side tracking, GTM, conversion APIs) is a strong plus

We Are Route

When shoppers hit "buy," a great customer experience doesn’t end, it’s just getting started. For too long, everything after checkout has been the weakest link in ecommerce: confusing tracking, lost or damaged packages, clunky returns, and missed opportunities to turn first-time buyers into lifelong fans. That's why we built Route.

Our mission is simple: we create shopper confidence that fuels brand growth. Route is the leading post-purchase platform for modern ecommerce, trusted by thousands of brands and protecting more than $20 billion in gross merchandise value to date. From package protection and industry-leading order tracking to returns and exchanges, cash back loyalty, and engaging product recommendations, Route brings every moment after checkout into one powerful platform, empowering shoppers with visibility and peace of mind while giving merchants loyalty that lasts well beyond the first sale.

Since launching in 2018, Route has raised over $250 million from leading investors including Craft Ventures, Hedosophia, and Hanaco Ventures, and has grown into a complete post-purchase ecosystem loved by millions of shoppers and the brands they buy from. Throughout that growth, we've stayed committed to building innovative products that empower our customers and to fostering a people-first, values-driven culture that makes Route a place where great work and great people thrive.

We're looking for talented people across the ecommerce space to join us on the next chapter of this adventure. Don't just take our word for it, Discover what life at Route has to offer.

The team

The Data Engineering team (DAENGR) is the backbone of Route's data ecosystem. We are primarily responsible for the data infrastructure, quality, standards, frameworks, and architecture that power enterprise data, reporting, and analytics across the entire organization. We solve problems of poor data quality and limited accessibility, simplify reporting for teams outside of data engineering, and monitor the uptime, security, and consistency of the majority of Route's data lifecycle. We collaborate closely with every corner of the business to make data a first-class citizen at Route.

The opportunity

This is a rare chance to shape the data destiny of a young, fast-growing company at an inflection point. As Route moves into the AI era of data infrastructure, you'll have the opportunity to leave a lasting legacy — exploring new systems and designs, and building tools that genuinely change how Route operates day to day. We are actively migrating from legacy Snowflake pipelines into a modern Databricks-first architecture, building out an Enterprise Data Warehouse (EDW) with a normalized 3NF core, and laying the groundwork for AI-ready data systems. You'll be co-authoring the next chapter of data at Route.

The ideal candidate is organized and articulate in their thinking, able to adapt and compromise to keep pace with business needs, but firm enough to push back when security and data integrity are at stake. We aim to help Route improve profitability, cash flow, and return on investment by providing accurate data to make informed decisions and process improvements.

What you’ll do

• 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.

What we’re looking for

• 5+ years of formal, professional data engineering experience
• 4+ years of SQL, fluency in complex transformations, window functions, query optimization
• 3+ years of python, data pipeline development, scripting, testing, and package management (Poetry)
• 2+ years of experience with AWS (e.g. - S3, RDS, DMS, DynamoDB) across data-related services
• 1+ years of experience using Databricks, our primary development platform for this role
• Experience using Terraform and GoLang
• PagerDuty / Grafana / Tableau, preferred experience
• Understanding of third normal form (3NF) data modeling and when to apply it
• Knowledge and application of data theory
• Working knowledge of data security practices and least-privilege access standards
• Experience with data access controls in cloud environments (IAM roles, catalog permissions, etc.)

Equal opportunity for all

Route is an Equal Opportunity Employer. We embrace diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Total Rewards

We know our team works best when everyone feels happy, healthy, and supported. We offer to pay 95% - 100% of your health insurance premiums for you and your family, remote or hybrid work arrangements, unlimited PTO, 401k matching, formalized growth opportunities, learning & development, DEI programs & events, and so much more.

Pay Transparency

Salary for this role: $138,000 - $146,000

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Route’s bonus plan for eligible roles. In addition to cash compensation, all Route employees are eligible to participate in Routes equity incentive plan to receive stock options per the terms of the agreement. Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

Make your impact within a rapidly growing Fintech Company

We are seeking an experienced Revenue Accounting Manager to join our revenue accounting team. This role is critical in ensuring accurate and compliant financial reporting related to our revenue streams. The ideal candidate will have a strong background in accounting principles, specifically ASC 606, experience with revenue accounting and accounts receivable, and a proven track record of managing complex reconciliations and processes.

This position requires extensive cross-functional partnership with teams across the organization, including Sales Operations, Sales, Business Development, Deal Desk, Customer Success, Legal, FP&A, Data/Analytics, Revenue Operations, Product, Engineering, Finance System, Treasury, and Operations, to ensure accurate reporting and drive process improvements.

• Contract Customer Billing

• Own end‑to‑end billing for a portfolio of contract and strategic partners, ensuring timely, accurate, and complete invoices in accordance with commercial terms and BILL policies.
• Review customer contracts, order forms, amendments, and pricing schedules to determine appropriate billing cadence, milestones, and one‑time vs recurring fees.
• Partner with Sales Ops, Business Development, engineering, finance system, and Legal to ensure contract structures and billing mechanics align with revenue recognition and AR requirements.
• Partner with Sales Ops, Customer Success and deal desk teams to address customer requests. 

• Collections & Receivables Management

• Manage A/R aging, lead collection efforts on past‑due balances, and reduce DSO and write‑offs while maintaining a strong customer experience.
• Collaborate with Customer Success, and Sales to resolve short‑pays, disputes, and unapplied cash, including recommending payment plans or settlements within policy.
• Manage allowance and bad debt assessments for higher‑risk accounts, ensuring supporting documentation is complete and audit‑ready.

• Accounts Receivable & Revenue Reconciliations

• Review monthly and quarterly reconciliations for AR, unbilled revenue, deferred revenue, contract assets/liabilities, and other revenue‑related accounts, resolving variances independently as a senior revenue accountant level.
• Build and maintain roll‑forward schedules and supporting analyses that connect operational drivers (volumes, rates, tiers) to GAAP balances and period‑over‑period movements.
• Design and improve reconciliation processes and controls to support SOX compliance, scalability, and automation.
• Propose process improvements to reduce time spent on complex manual processes

• Revenue Reporting & Cross‑Functional Analytics

• Partner with FP&A, Data/Analytics, Revenue Operations, and Product to design, modify, and maintain revenue and billing reports that support forecasting, performance metrics, and investor/management reporting.
• Investigate discrepancies in reported counts, rates, or amounts (e.g., usage, volume tiers, revenue share), and resolve issues with internal and external stakeholders.
• Provide revenue and AR insights (trends by product, partner, segment, and cohort) and act as a thought partner to stakeholders, translating complex accounting into clear, decision‑ready narratives.
• Partner with Finance transformation team to design and perform UATs for new products or existing products reporting enhancements. 

• Close & Compliance

• Independently own recurring month‑end and quarter‑end close tasks for assigned revenue and AR areas, including preparation and review of complex journal entries, reconciliations, and analyses.
• Propose and prepare one‑time/non‑recurring journal entries for complex issues (e.g., contract amendments, corrections, new products, manual true‑ups) with minimal guidance.
• Ensure processes and workpapers are fully SOX‑compliant, operate controls as designed, and identify control or process gaps with proposed remediation plans.
• Support internal and external audits, including providing reconciliations, documentation, and process walkthroughs for revenue and AR areas.
• Support monthly and quarterly financial statements reporting flux analysis and ad hoc analysis

We’d love to chat if you have:

• Bachelor's degree in accounting or finance. CPA or equivalent is preferred.
• Minimum of 5 years of experience in accounting
• Strong knowledge of GAAP, especially related toASC606.
• Excellent analytical, problem-solving, and decision-making skills
• Effective communication skills, both written and verbal, with the ability to interact with senior management and cross-functional teams
• Track record of building out new processes.
• Experience with NetSuite is a plus
• Proficient with Excel and experience with data analytical tools such as Tableau or Alteryx is a plus
• Must be a self-starter and deadline-driven to work in a fast-paced environment within tight deadlines
• Have the ability to think outside the box, work independently with general supervision, be a team player, and willing to contribute beyond the defined role to meet business needs as circumstances require

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Make your impact within a rapidly growing Fintech Company

Reporting to the Director of Revenue Operations, the Sr. Sales Operations Analyst will have the opportunity to collaborate cross functionally with Marketing, Finance, Product, Business Technology (Salesforce), Enablement, and Customer Success. This role will primarily support the Sales team by driving efficiency in the sales process in effort to create a world class sales machine. The role requires you to utilize a broad range of skills on a daily basis including, but not limited to, process improvement, data analysis, and project management. You will be expected to act as a strategic partner and advisor to Sales leadership through your in-depth knowledge and understanding of the sales organization’s data and processes. This is a high impact role that has tremendous career and professional growth potential.  The ideal candidate will be passionate about data and process and interested in working in a rapidly growing SaaS/Fintech company. 

Responsibilities/Duties:

• Analyze and advise on improvements in the sales process, rep execution, data cleanliness, target attainment, and systems to boost productivity
• Manage and improve processes within the sales technology tool stack (Outreach, ZoomInfo, Salesforce, etc.)
• Collaborate with Revenue Enablement and Salesforce development teams to build and evolve processes to improve sales productivity
• Partner with our Revenue BI team to develop resources to track key performance indicators and sales health metrics (productivity, sales cycle, pipeline generation, conversion rates, etc.)
• Proactively initiate and own cross-functional projects end-to-end to create efficiencies in the sales process and improve data quality

We’d love to chat if you have:

• 4+ years of experience in an Sales/Customer operations or an analytical role
• Salesforce and MS Excel mastery (Tableau or Looker is a plus)
• Data mindset with demonstrated aptitude for complex data analysis and passion for data backed decision making
• Strong project management experience with demonstrated ability to effectively manage time, prioritize tasks work within deadlines and manage stakeholders
• Fast mover with drive to iterate
• Takes initiative and goes above and beyond expectations
• BS/BA in Economics, Mathematics, Business Administration, or a related quantitative field

Make your impact within a rapidly growing Fintech Company

BILL.com’s Go-To-Market (GTM) Operations team is the connective tissue across Marketing, Product-Led Growth (PLG), and Sales — building the infrastructure, processes, and programs that enable scalable, data-driven growth. We're focused on creating frictionless user journeys, accelerating platform adoption, and delivering personalized experiences across the customer lifecycle.  

We are currently investing in strengthening our core operational backbone to ensure our data is accurate, our systems are integrated, and our campaigns are executed with precision.

We are looking for a Senior Marketing Operations Manager to serve as the architect and guardian of our marketing technology stack and processes. This person will work closely with GTM leadership to ensure efficient lead management, robust data governance, and seamless integration between our marketing automation platforms and CRM.

This is a critical role that blends technical expertise, strategic process design, and data analysis — ensuring that our marketing engine runs efficiently and that we can accurately measure the impact of our GTM initiatives.

Key Responsibilities

• MarTech Stack Management: Oversee the administration, integration, and optimization of the marketing technology stack (e.g., Marketing Automation, CDP, Direct Mail, etc.) to ensure scalability and performance.
• Lead Lifecycle Management: Own the end-to-end lead lifecycle, including scoring models, routing logic, and hand-offs between Marketing and Sales (SDR/AE) to ensure no lead is left behind.
• Data Integrity & Governance: Collaborate with Data Engineering and RevOps to maintain a clean, unified data ecosystem. Define and enforce data standards, enrichment processes, and compliance (GDPR/CCPA) rules.  
• Campaign Operations: Design and document standard operating procedures (SOPs) for campaign execution, ensuring consistent tracking, tagging, and attribution across all channels.
• Reporting & Analytics: Partner with the Analytics team to build and maintain dashboards that track campaign performance, pipeline attribution, and ROI, providing actionable insights to marketing stakeholders.
• Process Optimization: Proactively identify operational gaps, bottlenecks, and inefficiencies in our GTM motion and design scalable solutions to address them.
• Cross-Functional Alignment: Act as a primary liaison between Marketing, Sales Operations, and Business Systems to align on roadmap priorities and technical requirements.

We’d love to chat if you have:

Required Experience

• 5–7 years of experience in Marketing Operations, Revenue Operations, or a similar technical marketing role.
• Deep proficiency with Marketing Automation Platforms (Marketo, HubSpot, or Inflection.io) and CRM systems (Salesforce).
• Strong understanding of B2B marketing funnels, lead scoring models, and attribution methodologies.
• Experience managing data workflows, including list segmentation, data enrichment, and database hygiene.
• Ability to translate complex business requirements into technical specifications and process diagrams.  
• Experience working with CDPs (Segment, etc.) and data activation workflows is a strong plus.  

Preferred Qualifications

• Certification in major Marketing Automation Platforms (e.g., Marketo Certified Expert).
• Experience in a high-growth SaaS or Fintech environment.
• Proficiency with BI/Analytics tools (Looker, Tableau) and SQL basics.
• Familiarity with PLG motions and how they intersect with traditional inbound/outbound sales motions.

The role:

The Sarbanes-Oxley (SOX) Program Management Office (PMO) and Testing Group at SoFi is part of the Controllership and is responsible for ensuring the company has the necessary internal control and assessment elements in place to meet the SOX requirements. The PMO facilitates risk assessment and scoping to determine project scope of each reporting year, then prepares the internal control assessment plan and accompanying timeline, inclusive of scheduling and conducting walkthroughs for each process and control, and updating corresponding control description and process flowcharts.The Testing team facilitates all SOX management assessments for SoFi and its subsidiaries by attending control walkthroughs and conducting testing for all in-scope systems and controls. The IT Testing team performs testing over IT General Control, IT Automated Controls, Key Reports and IT-related Entity Level Controls. The Data Analytics team develops and implements testing automations, evaluates new technologies and supports reporting and dashboarding for the SOX Audit.

Responsibilities for the SOX Data Analytics & AI Manager, include, but are not limited to, identifying, developing and implementing data analytics and automation solutions for the SOX PMO & Testing teams, partnering with external stakeholders to implement automation solutions related to SOX controls, providing oversight of the SOX Data Analytics program, and assisting the SOX PM with reporting as needed. The SOX Data Analytics & AI Manager will report to the SOX IT Testing & Data Analytics Senior Manager, and will work with a mix of direct, indirect, and external team members to execute the program, including the SOX PMO IT Sr Manager and PMO team, to employ strategic and critical thinking skills to develop data analytics and automations.

SoFi’s fast pace of growth provides career development (e.g., work directly with senior and executive management) and learning opportunities (e.g., new system implementations) considering the role's enterprise-wide exposure.

What you’ll do: 

• Use data analytics, automation techniques and AI to increase efficiency and effectiveness in the SOX program execution (e.g., risk assessments, testing, fraud risk detection, deficiency analysis), program analytics/monitoring as well advise the business control owners on mechanisms to automate controls.
• Develop, Build and Lead the SOX Data Analytics and AI program
• Create SOX Data Analytics and AI program framework and policy/standards
• Work closely with the SOX team and cross-functional stakeholders to translate business objectives into technical specifications for data analytics and automation projects. This includes understanding the SOX business need, identifying technical requirements and bridging the gap between complex data and systems, business needs and internal control requirements.
• Lead the integration of AI and Automation tools to enhance testing efficiency. Develop and deploy automated continuous control monitoring solutions to provide comprehensive coverage of high-risk areas, shifting from point-in-time assurance to continuous assurance
• Design and implement automated data pipelines, build SQL queries and data extraction scripts for evidence retrieval and control testing, reducing manual intervention
• Collaborate with business stakeholders and EPD teams to design and implement integrated solutions that meet business and internal control requirements.
• Identify opportunities for process improvement through automation within the internal control environment.
• Partner with other Data Analytics teams across the three lines of defense to drive cross-functional data analytics projects, such as the build out of a shared data warehouse and code library, and harmonize risk and control reporting across.
• Establish internal policies, procedures and standards for the deployment and use of Automation and AI within the internal control environment.
• Collaborate with the SOX Sr Director, SOX Sr Program Manager, SOX IT Testing Lead and other SOX Leads to identify reporting needs, develop and implement dashboards, including the monitoring of SOX Program (e.g., Audit Status, Issue Trends, Resourcing, Budgeting)
• Key management consultant, and internal controls expert in building and maintaining ongoing relationships with the various lines of business included in the company's SOX process.
• Responsibilities also include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance 2) adhering to company policies and procedures, 3) completing required training.
• Support other assignment and ad hoc matters as required

What you’ll need:

• Education: Bachelor's Degree.
• 5-7 or more years of Data Analytics experience, including 2-3 years of data analytics within internal audit control teams
• Proficiency in SQL, Python and other languages, including writing complex SQL queries to pull data
• Experience with business intelligence, data warehousing and dashboarding, including Snowflake, Tableau and PowerBI
• Ability to work independently and lead in ambiguity and in a fast-paced environment
• Understanding of data lineage and integrity
• Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals
• High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards
• You reject manipulation, dishonesty and intolerance
• Critical thinking, analytical and strategic skills
• Ability to independently navigate within an ambiguous environment
• Organized, detailed, proactive, self-motivated, collaborative
• Proven ability to work cross functionally and adapt to change are extremely important
• Ability to prioritize workloads and ensure deadlines are consistently met
• High integrity and ability to handle confidential information
• Ability to define deliverables, build budgets and project plans, align resources and specialists for project teams
• Strong project management skills and organizing ability with successful experience in concurrently managing multiple projects at varying levels of technical difficulty 
• Strong teamwork and communication skills (both oral and written)

Nice to have:

• Big 4 Accounting Firm experience is strongly preferred.
• CPA and CIA/CISA or strongly preferred
• Prefer FinTech, banking and/or financial services experience primarily focused on IT SOX or IT enterprise-wide risk management and ICFR controls consulting.
• Practical and deep knowledge of IT / BP SOX, ICFR and COSO and baseline understanding of business process controls.
• Expertise in performing SOX testing, including ITGCs, ITACs, Manual Controls and Key Report Testing (e.g., examining report configurations, scripts)

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

About the Role

We’re looking for a Senior Data Engineer to design, build, and optimize our data platforms so teams across the company can make fast, reliable, data-driven decisions. You’ll be a key technical leader, owning end-to-end data pipelines and modeling, and setting best practices around how we work with data.

You’ll work heavily with Databricks, Spark, SQL, and Python, building scalable data solutions that power analytics, reporting, and data products. Experience in payments or financial services is a strong plus.

What You’ll Do

• Design and build data pipelines
• Develop, maintain, and optimize ETL/ELT pipelines on Databricks and Spark.
• Integrate data from multiple internal and external sources into a centralized data platform.
• Own data modeling & architecture
• Design and maintain robust data models (e.g., star/snowflake schemas, data vault, dimensional models) to support analytics and self-service BI.
• Establish and enforce data modeling standards and documentation.
• Ensure data quality, reliability, and performance
• Implement data quality checks, validation frameworks, and monitoring.
• Tune queries and jobs for performance and cost efficiency in Databricks and downstream systems.
• Collaborate and lead
• Partner with data analysts, data scientists, and product/engineering teams to understand data needs and translate them into technical solutions.
• Provide technical leadership and mentorship to other data engineers; help review designs and code.
• Governance & best practices
• Contribute to and refine our data governance, security, and access control practices.
• Drive best practices around version control, CI/CD for data, and code standards.

Required Qualifications

• 7+ years of professional experience as a Data Engineer, Software Engineer, or similar role.
• Strong hands-on experience with Databricks (or a very similar cloud data platform) including cluster management, jobs, and notebooks.
• Advanced experience with Apache Spark for batch and/or streaming data processing.
• Expert-level SQL skills (complex joins, window functions, query optimization).
• Strong Python skills for data engineering (e.g., PySpark, data processing libraries, scripting).
• Proven experience in data modeling and designing schemas for analytics and reporting.
• Experience building and maintaining data pipelines in a cloud environment (AWS, Azure, or GCP).
• Strong understanding of data warehousing concepts, ETL/ELT best practices, and data lifecycle.
• Solid software engineering fundamentals: version control (git), testing, code reviews, and CI/CD.
• Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.

Nice to Have

• Experience in payments, fintech, banking, or broader financial services (e.g., transaction data, ledgers, risk, fraud, reconciliation).
• Experience with streaming technologies (e.g., Spark Structured Streaming, Kafka, Kinesis, or similar).
• Familiarity with dbt or similar transformations-as-code frameworks.
• Experience with orchestration tools (e.g., Airflow, Databricks Workflows).
• Knowledge of BI tools (e.g., Power BI, Tableau, Looker) and how data models power them.
• Exposure to machine learning workflows and supporting data science teams.
• Experience implementing data governance, lineage, and catalog tools.

What You’ll Bring

• A product mindset: you think about the end users of data and build with usability in mind.
• A bias for automation, reliability, and scalability over one-off solutions.
• Comfort with ambiguity, ownership of complex problems, and a desire to continuously improve the data ecosystem.

What We Offer

• 401k investment opportunity, with company match   
• Medical, Dental, and Vision Plans
• Paid Time Off   
• Paid Parental Leave
• Paid Volunteer Leave

Role Information: 

• Full-Time, On-site, Provo

ABOUT THIS ROLE

LVT is seeking a strategic, systems-thinking Senior Product Manager to own LVT's flagship product: the Mobile Security Unit (MSU). The MSU is the industry-defining platform that put LVT on the map — a ruggedized, AI-powered mobile surveillance system deployed across thousands of customer sites nationwide. As Senior PM of the MSU, you are the product visionary and operator for this business-critical platform. You will drive both its ongoing evolution through a forward-looking enhancement roadmap and its long-term health through disciplined fleet lifecycle management.

You will sit at the intersection of Hardware Engineering, Software, Service Operations, and Data Analytics — translating field intelligence, customer needs, and technical capability into a product roadmap that keeps the MSU the undisputed leader in mobile security.

RESPONSIBILITIES

Product Strategy & Roadmap

• Own the MSU product roadmap end-to-end, balancing new capability development, hardware enhancements, and fleet sustainment in a cohesive multi-year plan aligned to LVT's software and AI strategy.
• Identify and prioritize enhancement opportunities — new sensors, AI/ML integrations, connectivity upgrades, power innovations — that extend MSU's competitive differentiation and open new market segments.
• Define and communicate the MSU product vision to internal stakeholders, customers, and partners.
• Partner with Sales, Marketing, and Business Development to drive continued MSU market growth — identifying expansion opportunities, informing pricing and packaging strategy, and ensuring the product roadmap directly supports LVT's revenue and market share goals.

Product Enhancement & Innovation

• Lead discovery and definition for MSU hardware and systems enhancements, working closely with Hardware Engineering, Software, and AI teams to bring new capabilities to market.
• Develop business cases for capability investments, including market sizing, competitive analysis, and ROI modeling.
• Partner with Sales and Marketing to equip the go-to-market team with compelling MSU positioning as enhancements ship.

Fleet Sustainment & Lifecycle Management

• Manage the full lifecycle of the deployed MSU fleet, ensuring thousands of units in the field remain high-performing and reliable — from active platform optimization through end-of-life transitions.
• Proactively manage component lifecycles (modems, sensors, power systems), leading make/buy validation for drop-in replacements to ensure zero supply chain or field downtime.
• Lead development of modular hardware refresh kits that enable older MSU units to support modern AI/ML capabilities through cost-effective field upgrades rather than full replacements.
• Use fleet telemetry and health dashboards to drive predictive maintenance cycles and engineering changes that measurably improve uptime and MTBF.

Stakeholder Partnership & Unit Economics

• Act as the primary product interface for Hardware Engineering, Service Operations, and Field Teams — ensuring the MSU is designed for both performance and serviceability, with field technician feedback informing every development cycle.
• Build and defend business cases for fleet investments, balancing enhancement capital against retrofit and TCO reduction initiatives.
• Drive unit economics improvements through durability gains, power consumption reductions, and lower field service costs; travel up to 15% for customer visits, field operations, and supplier engagements.

REQUIRED EXPERIENCE

• 5+ years of Product Management experience, with a track record of owning a complex hardware or hardware/software product — including both roadmap development and in-field lifecycle management.
• Hardware/Software Systems Fluency: Experience managing products involving a deep integration between embedded electronics (cameras, sensors, modems) and AI/ML services.
• Product Roadmapping & Discovery: Demonstrated ability to build and prioritize a multi-horizon product roadmap, balancing new capability investment with platform sustainment.
• Operational & Financial Acumen: Ability to build business cases for enhancement investments, retrofit programs, and capital expenditure decisions with clear ROI framing.
• Technical Depth: Familiarity with embedded electronic products, power management (solar/battery), and communication interfaces (LTE/5G, Ethernet, PoE).
• Data & Analytics Proficiency: Experience using BI tools (Tableau, Looker, or Power BI) to analyze fleet telemetry and inform product decisions.
• Vendor & Supply Chain Management: Proven ability to manage hardware vendors, conduct make/buy analyses, and navigate component end-of-life cycles.
• Leadership & Influence: Demonstrated ability to align and lead cross-functional teams across Engineering, Field Service, Sales, and Finance without direct authority.
• Education: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Operations Management, or a related technical field. An MBA or advanced technical degree is a plus.

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

ABOUT THIS ROLE

The Service Operations team’s mission is to drive the strategy, processes, and initiatives that enable LVT’s Customer Experience teams to deliver a world-class experience. Reporting to the Sr. Director of Strategy & Operations, the Service Operations Analyst serves as the analytical and tactical engine of the post-sales organization. This role balances data with hands-on process engineering to ensure that all post-sales teams operate with data-backed efficiency and quality.

This particular position requires registering with the state of Utah as an Alarm Agent. This process includes a federal background check/fingerprinting and an application.

ROLE RESPONSIBILITIES

• Operational Intelligence & Advanced Analytics: Build, maintain the reporting suites that track the health of the post-sales organization. Use SQL, Excel, and BI tools to conduct predictive analyses that identify trends, anticipate future bottlenecks, and provide data-backed recommendations for system and process pivots.
• Systems & Process Innovation: Identify friction points within the post-sales tech stack (e.g., ServiceNow, Oracle Fusion) and lead initiatives to streamline workflows. Utilize data to prove the ROI and impact of these optimizations.
• Holistic Work Management Optimization: Drive the end-to-end optimization of work management processes across all post-sales teams and 3rd-party vendors, ensuring seamless hand-offs, clear task accountability, and high-quality service delivery.
• People-Centric Improvement: Partner with post-sales leadership to correlate team performance data with specific process or system gaps, developing tactical solutions that empower team members to provide a world-class experience consistently.
• System Power-User & Integration: Serve as a lead power-user for core service tools, ensuring that system configurations across the post-sales environment are optimized for both team member efficiency and granular data capture.
• Operational Documentation: Standardize and maintain the "Service Playbook" for all post-sales functions, ensuring that operating procedures are documented, accessible, and grounded in proven, data-verified best practices.
• Cross-Functional Collaboration: Develop strong relationships across all post-sales departments to ensure that new initiatives are practical, scalable, and embraced by the team members performing the work.

OUR IDEAL CANDIDATE

• 3-5+ years of experience in Service Operations, Support or Field Service Operations, or a similar post-sales support environment.
• Data-Fluent Problem Solver: Proficiency in Excel and SQL is required. Experience building automated reporting in BI tools (e.g., Tableau) and CRM/ERP native reporting engines.
• A Process Architect: Experience in building, implementing, and simplifying complex work management workflows (e.g., second-level escalation pathing and 3rd-party vendor management) across multiple departments.
• Systems Fluency: Hands-on engagement with work management systems (e.g., ServiceNow) and ERPs (e.g., Oracle, Acumatica).
• Technical Proficiency: Proven ability to translate complex data sets into "Executive Summaries" that drive decision-making and justify workflow or system changes.
• Influence & Communication: Exceptional ability to translate technical system changes and data insights into clear, actionable execution plans that team members at all levels can adopt.
• Education: B.S. in Business Administration, Operations Management, Data Analytics, or a related field

ABOUT THIS ROLE 

As the Sr. Manager of Data Engineering and Architecture, you will be a hands-on leader responsible for defining and executing the data engineering strategy, architecture, and technology stack. You will be responsible for the foundational data infrastructure that powers analytics and decision-making across the organization.

A critical part of this role will be building, mentoring, and managing a team of 3 data engineers. You will guide the team's efforts while also contributing directly to the development of our modern data warehouse in Snowflake using dbt and SQL, transforming raw data into reliable and accessible datasets. Crucially, you will spearhead the data migration efforts for our ongoing Oracle Fusion Cloud deployment, designing a robust, cohesive data ecosystem that bridges our new Oracle environment with Snowflake.

Your leadership will ensure the successful design, build, and maintenance of robust data pipelines that ingest data from a variety of internal and external sources into Snowflake. Your team's work will support reporting, dashboarding, and analysis across the company, enabling teams to make informed decisions based on trusted data. Given the green-field nature of this initiative, the role is expected to be approximately 30% technical leadership, strategy, and people management, and 70% direct, hands-on engineering and architecture.

This position is based in a hybrid work environment and requires regular in-office collaboration. It offers an opportunity to lead with modern data tools, build a high-performing team, and make a direct, strategic impact on data quality and accessibility during a massive phase of enterprise scaling.

ROLE RESPONSIBILITIES

• Data Strategy & Architecture: Define the long-term vision, strategy, and architecture for the company’s data platform. Design a cohesive hybrid architecture that maximizes the strengths of our full tech stack, ensuring it drives measurable business value and scales efficiently to support hyper-growth.

• Team Leadership & Management: Build, mentor, and manage a team of 3 data engineers, fostering a culture of technical excellence, accountability, and continuous improvement.

• Data Modeling & Transformation: Lead the team in building and maintaining robust data models using dbt and SQL that support complex analytics and reporting needs. Contribute directly as an individual contributor as needed.

• Snowflake Development: Oversee the design and optimization of the Snowflake data warehouse to ensure performance, scalability, and usability. Participate directly in key development efforts.

• Cross-Functional Collaboration: Act as the primary technical partner to analysts, business stakeholders, and data teams to deeply understand requirements and translate them into strategic engineering solutions and delivery plans.

• Performance Tuning: Guide the optimization of SQL queries and data transformations to improve execution speed and resource efficiency across the platform.

• Tooling & Automation: Identify, evaluate, and implement opportunities to automate data workflows, improve pipeline reliability, and establish a formal DataOps/MLOps framework using modern orchestration tools (e.g., Airflow, Prefect, cloud-native serverless functions).

• BI Tool Support: Ensure the team provides clean, well-structured data models to enable effective use of BI tools like Looker, Sigma, Tableau, or similar platforms.

• Pipeline Engineering: Direct the development and maintenance of scalable data ingestion pipelines that pull data from APIs and other sources into Snowflake, including exploring solutions for near real-time data feeds.

• Data Governance & Quality: Champion best practices in data governance, data lifecycle management, and dimensional modeling. Implement data validation checks, documentation standards, and lineage tracking to maintain high data integrity across all of our systems.

• Oracle Fusion Cloud Migration & Integration: Lead the complex data migration strategy for our active Oracle deployment. Architect, build, and maintain secure, high-performing data flows and syncs between Oracle and Snowflake to ensure operational continuity and analytical excellence.

OUR IDEAL CANDIDATE

• Experience: 8+ years in data engineering or related roles, with a strong focus on data modeling and pipeline development.

• Education: Bachelor’s degree in Computer Science, Engineering, Data Analytics, or a related field.

• Technical Skills:

  • Proven experience leading complex data migration or implementation projects.

  • Advanced proficiency in SQL and experience with data modeling (e.g., star/snowflake schemas).

  • Hands-on experience with dbt for building modular and testable data transformations.

  • Experience developing data pipelines using Python and workflow orchestration tools (e.g., Airflow, Prefect).

  • Deep understanding of Snowflake.

  • Demonstrated ability to design and implement a modern data architecture from scratch.

• BI & Analytics Tools:

  • Familiarity with BI platforms such as Looker, Tableau, or Sigma is helpful.

• Infrastructure & Governance:

  • Understanding of ELT/ETL workflows, data governance, and monitoring practices.

  • Experience defining and enforcing organizational standards for data quality, metadata management, and cost optimization within a cloud data warehouse (Snowflake).

• Communication & Problem Solving:

  • Ability to clearly explain technical details to both technical and non-technical stakeholders.

  • Strong analytical and debugging skills; attention to detail in code and data quality.

Role Description

As the Senior Vertical Marketing Manager, you will serve as a pseudo “CMO” for your vertical and become the go-to expert on understanding customer needs, pain points, and the industry landscape. You will play an integral role in Podium’s acquisition efforts, and be responsible for crafting marketing strategies and rolling up your sleeves to execute that strategy to cost effectively drive new customers from your vertical. 

The ideal candidate is an action-oriented, strategic marketer. You love to solve ambiguous problems using data-informed decision making and drive results. You possess exceptional critical thinking skills, a customer-centric mindset, and an excellent track record of building strategies that drive growth.

What you will be doing:

• Own the Strategy & Hit Revenue Goals: You will build and own a comprehensive and cost effective marketing strategy for your assigned vertical to hit or exceed Podium’s bookings targets. You’ll build out a roadmap and be accountable for executing strategy across channels like go-to market Partnerships, Influencer, marketing in external trade publications, facebook groups, forums, threads. You’ll attract prospects by building and disseminating content and webinars in highly relevant topics.  You will continuously analyze performance and iterate on your approach to maximize new customer growth with your space.  
• Drive our Partner Network: Partner marketing is a core vertical channel for Podium and you will be responsible for developing the strategy and executing highly effective marketing campaigns to high leverage partners in service of converting these prospects into paying customers.  You'll also tap into this partner network to build a pipeline of influencers to serve as evangelists for Podium.
• Understand the Customer: The customer will be at the core of your work. You will identify their pain points and needs, understand their business operations, figure out best channels by which to reach them and how to speak to them in terms that will resonate and establish Podium as a credible source in their industry.  Your strategic insights will shape our go-to-market approach & you will be responsible for disseminating insights across the marketing and broader org. 
• Cross-functional Collaboration: As the Vertical Manager, you will collaborate with Sales, Product, Support, and other leaders to align vertical efforts across the organization. Your ability to build strong relationships and drive alignment will be crucial to build campaigns that resonate with our customers and prospects.
• Content Leadership: Generating vertical-specific collateral, trade show playbooks, UGC style videos (with the help of the creative team) and other marketing campaign documents for partners, influencers, and trade shows will be a part of your creative responsibilities. Your vertical expertise will ensure our messaging is finely tuned to resonate with the target audience.

What you should have:

• 8-12 years of experience in demand generation, lead generation or similar marketing experience, preferably in a B2B SaaS environment
• Strong understanding of digital marketing channels, content strategy and campaign execution
• Exceptional bias to action and a passion to build and execute on marketing strategies that drive significant bookings impact with minimal hand-holding. 
• Proficiency in Excel and familiarity Tableau and SQL to drive insights using data and analytics 
• Customer-centric mindset; your ability to empathize with customers and put their needs first will be a key differentiator.
• Collaborative mindset; your ability to work with different teams and adapt to various situations will be essential in driving successful marketing campaigns
• Interest in owning several marketing channels and creating conversion-oriented content

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business