About the Role

Flex is seeking a Revenue Operations Manager to build, own, and scale the operational backbone for our New Verticals  division — Flex's expansion beyond rent into non-rent split-pay verticals. Reporting to the Head of Revenue Operations, you'll be the first dedicated RevOps hire to support New Verticalsr, responsible for standing up the systems, processes, and data infrastructure that will power this division through its next phase of growth.

New Verticals is exiting its experimental phase with clear product-market signal and aggressive growth targets. You'll work closely with Business Development,Sales and cross-functional leadership to architect the GTM engine from the ground up — Salesforce configuration, pipeline management, routing, reporting, and the full revenue tech stack. This is a build role: you'll define the playbook, not inherit one.

This is an ideal role for someone who thrives in ambiguity, has stood up RevOps infrastructure before, and wants to shape the operational foundation of a high-growth division.

What You'll Do

Systems Architecture & Ownership

• Build and own the Salesforce environment for New Verticals — objects, fields, page layouts, record types, validation rules, flows, and automations tailored to non-rent split-pay sales motions.
• Design and implement revenue tech stack integrations (CRM, enrichment, routing, marketing) to support NV's distinct sales process and team structure.
• Establish system architecture standards, documentation, and governance that can scale as the division grows from a small team to a full GTM org.
• Serve as the primary systems expert for New Verticals — owning troubleshooting, enhancements, and feature requests end-to-end.

Process Design & GTM Enablement

• Architect the  sales process from lead-to-close — stage definitions, pipeline management, forecasting methodology, and deal hygiene standards.
• Design and deploy routing rules, territory logic, and assignment workflows specific to go-to-market motions (biller channel, D2C, consumer cross-sell).
• Partner with Revenue Operations leadership to align on New Verticals  processes with company-wide RevOps standards while accommodating the division's unique needs.
• Build scalable onboarding workflows and enablement materials for new  hires as the team scales rapidly.

Data, Reporting & Analytics

• Define and maintain core operating metrics — TPV, pipeline velocity, conversion rates, and division-specific KPIs.
• Build dashboards and reports that give Revenue team leadership real-time visibility into pipeline health, forecast accuracy, and team performance.
• Ensure data quality and integrity through validation rules, audits, deduplication, and governance practices.
• Partner with Data and BI teams to ensure data flows cleanly into Snowflake and downstream analytics.

Cross-Functional Leadership

• Act as the operational bridge between the team’s Business Development,Sales, Partner Success, and the broader RevOps team.
• Translate business requirements into system design — converting ambiguous asks into reliable, repeatable processes.
• Represent the  operational needs in company-wide RevOps planning, tool evaluations, and architecture decisions.
• As the division scales, help scope and build the New Verticals  RevOps function — contributing to hiring plans, role definitions, and team structure.

Who You Are

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or GTM Operations, with at least 2 years in a senior or lead capacity.
• Deep Salesforce expertise — you've configured and built environments, not just maintained them. Salesforce Administrator Certification preferred.
• Demonstrated experience standing up RevOps infrastructure for a new or rapidly scaling business unit, division, or company.
• Familiarity with GTM systems such as Outreach, LeanData, Clay and  HubSpot Marketing..
• Experience with AI-assisted operational tooling (e.g., Claude, Claude Code) is a plus.

Skills & Attributes

• Builder mentality — you're energized by creating from zero, not just optimizing what exists.
• Strong architectural thinking — you design systems and processes that scale, not just ones that work today.
• Comfort with ambiguity — you can define scope, make tradeoffs, and move forward when the playbook doesn't exist yet.
• Exceptional cross-functional communication — you translate between technical and business stakeholders fluently.
• High ownership and accountability — you treat the division's operational success as your own.
• Detail-oriented execution paired with strategic perspective — you can wire up a validation rule and advise on GTM process design in the same afternoon.

Compensation

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. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

• Tier 1 (NYC/SF/Seattle): $136,000—$170,000 USD
• Tier 2: $122,400—$153,000USD
• Tier 3 (SLC): $115,600—$144,500 USD

This position does not offer visa sponsorship now or in the future.

We’re looking for an Analytics & Business Intelligence, AVP to measurably drive growth for our Operations and Investment Management (OIPM) group at iCapital.

This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change.

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and will work closely with our Data Engineering group. Although you are initially expected to be an individual contributor, the role would eventually entail managing a team of 1-3 direct reports.

On the technical side, you will interface with our data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau (among others). On the business side, you will work with our operations teams to produce management visibility, efficiency improvements and workflow automation.

Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

Responsibilities:

• Write SQL within dbt to extract, transform, validate, and aggregate data.
• SQL / DBT - 50%; Tableau/PowerBI - 30%; Python - 20%
• Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis
• Monitor and deploy data pipelines into our orchestration infrastructure using Prefect
• Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and finally presenting on results
• Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
• Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field
• 4 to 8 years of experience in a data-related role
• Excellent writing, communication and presentation skills
• Excellent knowledge of SQL (dbt experienced preferred)
• Good knowledge of a business intelligence tool (e.g. Tableau, Looker, PowerBI)
• Good knowledge of Python, Microsoft Excel and intermediate statistics
• Familiar with data science techniques and machine learning models
• Prior experience with end-to-end project delivery (e.g. requirements gathering, scoping, working within large organizations, presenting on project plans and results)
• Detail-oriented, naturally curious and willing to question to status quo to understand business needs

Preferred Qualifications:

• Prior experience in the financial services and alternative investments
• Prior experience in business analyst and/or project management roles

Benefits

The base salary range for this role is $100,000 to $135,000 depending on level and experience.  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.

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.

This position does not offer visa sponsorship now or in the future.

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions.

Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

• Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
• Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem.
• Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business.

Qualifications

• 6-10 years of professional experience in a data engineering or data-driven software engineering role
• Exceptional Python and SQL skills
• Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
• Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
• Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
• Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
• Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
• Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
• Detail-oriented and able to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about learning and mastering cutting-edge technologies
• Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
• Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  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.

About the role

We are hiring a Senior BI Analyst to serve as the dedicated analytics partner to our Technology organization. This role sits on the central BI team alongside analysts supporting other business functions and a small team of BI developers who own our modern data platform. You will be the primary analytics point of contact for the CTO org and the Finance partners supporting it, with a particular focus on engineering efficiency, capacity, delivery metrics, and public cloud spend. 

This role is uniquely important right now. As a SaaS company in the late stages of migrating from private cloud to public cloud, public cloud economics — unit costs, usage drivers, commit strategies, and efficiency metrics — will be a core part of this role. Prior depth here is a plus but not required; we expect the right analyst to build that expertise quickly by partnering closely with our Finance and FinOps teams, and to translate what they learn into insights the CTO, engineering leaders, Finance, and FinOps can actually act on. 

You will also inherit a set of existing tech ops and efficiency reports (sprint planning, team capacity, delivery throughput, etc.) that today live outside our standard architecture. A core part of your charter is partnering with our BI developers to modernize these reports and bring them onto our tech stack — with proper models, governance, and documentation. 

What You’ll Do 

Be the Analytics Partner to the Tech Org 

• Serve as the dedicated BI analyst for the CTO organization and the Finance team supporting Tech 
• Build strong working relationships with engineering leaders, product/program managers, FinOps, and Finance partners 
• Translate ambiguous business questions into clear analyses, metrics, and self-service reporting 
• Drive the roadmap for Tech org analytics in partnership with stakeholders and the Director of BI 

Own Public Cloud Spend & Efficiency Analytics 

• Partner with FinOps to build a unified view of public cloud spend — by service, environment, team, product, and workload 
• Develop and maintain unit economics and efficiency metrics (e.g., cost per tenant, cost per transaction, cost per environment, utilization, commit coverage, waste) 
• Track migration progress from private to public cloud and surface cost, performance, and efficiency implications for leadership 
• Help leadership connect cloud spend to engineering activity, product usage, and business outcomes — not just a bill 
• Identify optimization opportunities and partner with FinOps and engineering teams to quantify, prioritize, and track them 

Modernize Tech Ops & Engineering Efficiency Reporting 

• Take ownership of the existing tech ops / engineering efficiency reports (sprint planning metrics, team capacity, delivery throughput, and related analyses) currently built outside our standard architecture 
• Partner with the BI developer team to migrate these reports onto Snowflake + Power BI, with documented definitions and proper governance 
• Define and standardize engineering metrics (velocity, throughput, capacity, quality, cycle time, etc.) so the organization has a single source of truth 
• Retire legacy spreadsheets and one-off reports in favor of trusted, scalable assets 

Deliver High-Quality Analysis & Reporting 

• Build and maintain Power BI dashboards, semantic models, and ad-hoc analyses that answer real questions for Tech and Finance stakeholders 
• Contribute requirements back to the BI developer team to shape the underlying data models, and help validate them before they land in production 
• Communicate findings clearly — with context, caveats, and recommendations — to both technical and executive audiences 

Collaborate Across the BI Team and the Business 

• Work side-by-side with other BI analysts supporting different functions to share patterns, reuse assets, and ensure metric consistency across the company 
• Partner with BI developers to move from “report-by-report” delivery to scalable, well-modeled data products 
• Act as a trusted, embedded analyst within the Tech org while representing central BI standards 

Documentation & Enablement 

• Document metric definitions, data sources, and assumptions so stakeholders can self-serve with confidence 
• Enable CTO-org leaders and Finance partners to get to answers faster through well-designed Power BI experiences and clear training
• Other duties as assigned 

What You’ll Need to be Successful 

Core BI & Analytics Experience 

• 5+ years of hands-on BI/analytics experience, with a track record of supporting senior stakeholders 
• Comfortable reading SQL and working with curated data layers delivered by the BI developer team 
• Strong experience with Power BI (DAX, semantic modeling, performance tuning) or a comparable enterprise BI tool with a clear path to ramp up on Power BI 
• Working knowledge of modern cloud data stacks — Snowflake (or close equivalents) 
• Solid grasp of dimensional modeling concepts and how to collaborate with data engineers to get the models you need 

Public Cloud Spend & Efficiency

• Any exposure to public cloud spend analysis (AWS, Azure, and/or GCP) — billing data, tagging, usage, cost allocation — is a plus, but not required; we expect the right candidate to ramp up in this area by partnering closely with our Finance and FinOps teams 
• Interest in FinOps concepts (unit economics, showback/chargeback, commit and reservation strategy, rightsizing, anomaly detection) and a willingness to learn them on the job 
• Curiosity about SaaS infrastructure economics and how engineering decisions translate into cost and efficiency 
• Experience working on or alongside a cloud migration (private-to-public, data center exit, or similar) is a bonus 

Tech Org Partnership 

• Comfortable partnering with engineering leaders, EMs, and program managers — you understand how software teams actually work 
• Familiarity with engineering efficiency and delivery metrics (sprint/velocity, throughput, capacity, cycle time, DORA-style metrics, etc.) 
• Experience working with Finance/FP&A partners on cost, headcount, and capacity analyses 

Engineering & Analytical Discipline 

• Strong instincts around data quality, reconciliation, and “is this number actually right?” 
• Comfortable with Git-based workflows and a structured dev → prod promotion path for BI assets 
• Clear communicator — written and verbal — with a track record of telling a story with data for executive audiences 

AI-First Mindset 

• Demonstrated ability to use AI tools (Copilot, Claude, Cursor, etc.) to accelerate SQL, DAX, documentation, and analysis work 
• Strong judgment to validate AI-generated output rather than trust it blindly 
• Interest in applying AI/agents to BI workflows — metric QA, narrative generation, anomaly explanation, etc. 

What Will Make You Stand Out

• Familiarity with dimensional modeling best practices (star schemas, conformed dimensions, slowly changing dimensions Type 2, etc.) — enough to partner effectively with BI developers on model design 
• Exposure to Jira, Azure DevOps, GitHub, or similar as data sources for engineering metrics 
• Prior experience at a SaaS company, ideally PE-backed or growth-stage 

What You’ll Love About NetDocuments 

• The People! 
• 90% healthcare premiums company covered 
• HSA company contribution 
• 401K match at 4% with immediate vesting 
• Flexible PTO (typically 3 to 4 weeks a year) 
• 10 paid holidays 
• Monthly contributions for life activities & wellness 
• Access to LinkedIn learning with monthly dedicated time to explore 

Compensation Transparency 

The compensation range for this position is:  $110,000 - $120,000

The posted cash compensation for this position includes on target earnings, base salary and variable if applicable. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related

#LI-HYBRID

About the role

We are seeking a highly skilled Senior BI Engineer to take ownership of our Snowflake data platform and help evolve it into a scalable, well-governed foundation for analytics and AI. This is a hands-on engineering role responsible for shaping data architecture, enforcing standards, and building a clean, reliable data layer that supports both business intelligence and AI-driven use cases. You will report directly to the Director of BI and have significant autonomy in how the platform evolves. 

What You’ll Do 

Own and Elevate the Data Platform 

• Own the design and evolution of our Snowflake data platform end-to-end 
• Refactor and enhance pipelines, dbt models, and transformations to meet high standards for scalability, performance, and maintainability 
• Make and drive architectural decisions—not just implement tasks 

Architect for Scale and Clarity 

• Implement and enforce medallion architecture (bronze/silver/gold) with clear separation of concerns 
• Design and build dimensional models (star schemas) that are intuitive, performant, and durable 
• Implement SCD Type 2 and other core warehousing patterns correctly and consistently 
• Establish and enforce standards for schemas, naming, and data contracts 
• Integrate and normalize data from a wide range of source systems (SaaS apps, operational databases, event streams, finance/CRM tools) into a coherent, well-modeled warehouse layer 

Build an AI-Ready Data Layer 

• Design data models optimized for semantic clarity and AI/LLM consumption 
• Implement semantic views in Snowflake to enable tools like Claude via MCP 
• Ensure data is traceable, explainable, and trustworthy 

Establish a Real Data Engineering SDLC 

• Implement a Git-driven development lifecycle (branching, PR reviews, testing, deployments) 
• Introduce and enforce: 
• Data quality testing and validation 
• Schema enforcement and regression safeguards 
• Clear promotion paths from dev → prod 
• Raise the bar on engineering discipline across the data function 

Leverage AI as a Force Multiplier 

• Use AI tools to accelerate development while maintaining high standards 
• Guide and validate AI-generated code—never blindly trust it 
• Explore agent-based approaches for: 
• Data quality auditing 
• Pipeline validation 
• Anomaly detection and monitoring 

Collaborate and Lead Technically 

• Partner with BI analysts to deliver reliable, well-modeled datasets (Power BI downstream) 
• Translate ambiguous business requirements into clean, scalable data models 
• Provide technical direction to a supporting QA/offshore resource (planned) 

Documentation & Transparency 

• Build a culture of clear documentation, lineage, and data discoverability 
• Ensure systems are understandable and maintainable by others 
• Other duties as assigned 

What You’ll Need to be Successful 

Data Engineering Depth & Ownership 

• 5+ years of hands-on data engineering experience, with a meaningful portion spent owning architecture and driving development — not just executing assigned tasks 
• Strong experience with Snowflake as a primary warehouse 
• Advanced SQL skills and experience building production-grade ELT pipelines 
• Strong hands-on experience with dbt for modeling, testing, and transformation — including macros, tests, snapshots, and managing a production dbt project at scale 
• Experience integrating and normalizing data from many disparate source systems — SaaS APIs, application databases, CRM/ERP, finance systems, event data — into consistent, analytics-ready models 
• Deep, hands-on experience with: 
  • Star schemas and dimensional modeling 
  • SCD Type 2 implementations 
  • Layered/medallion architectures 
• Ability to make tradeoffs and defend decisions (performance vs flexibility, normalization vs usability, etc.) 
• Track record of improving data quality, consistency, and trust 
• Experience implementing Git-based workflows and structured SDLC practices for data 
• Strong instincts around testing, governance, and maintainability 
• Comfortable setting and enforcing standards across a team 

AI-First Mindset

• Demonstrated ability to use AI tools to meaningfully increase output and velocity 
• Strong judgment to validate and refine AI-generated work 
• Interest in applying AI/agents to improve data engineering workflows 

What Will Make You Stand Out

• Familiarity with Power BI 
• Familiarity with Salesforce as a data source (objects, schema, Salesforce-to-warehouse pipelines) 
• Experience working with or leading offshore/support resources

What You’ll Love About NetDocuments 

• The People! 
• 90% healthcare premiums company covered 
• HSA company contribution 
• 401K match at 4% with immediate vesting 
• Flexible PTO (typically 3 to 4 weeks a year) 
• 10 paid holidays 
• Monthly contributions for life activities & wellness 
• Access to LinkedIn learning with monthly dedicated time to explore 

Compensation Transparency 

The compensation range for this position is:  $155,000-$165,000

The posted cash compensation for this position includes on target earnings, base salary and variable if applicable. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related

#LI-HYBRID

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.

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.

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 THIS ROLE

As Data Engineer, AI, you will play a key role in building and advancing LVT’s data platform — contributing across the full data engineering lifecycle, from ingestion and transformation to semantic modeling and delivery — while also helping build the data infrastructure that powers LVT’s AI initiatives, including RAG pipelines and Snowflake Cortex models. This is a core engineering role with an AI edge: you’ll keep the data platform running with precision and reliability, and you’ll be the person who makes sure our AI systems have the clean, well-structured data they need to perform.

LVT is a flexible-first company. This role can be performed remotely, with a preference for candidates who can work from our American Fork, UT office.

ROLE RESPONSIBILITIES

• Design, build, and maintain scalable ELT pipelines that move data reliably from source systems into a clean, well-governed data platform.
• Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces.
• Own data quality — implement validation, monitoring, and alerting frameworks that catch problems before they reach stakeholders.
• Optimize Snowflake performance across ingestion, transformation, and storage, including dynamic tables, clustering, and query tuning.
• Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines.
• Collaborate with AI/ML engineers to support Snowflake Cortex model development with well-structured, context-rich training and inference data.
• Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions.
• Document data architecture, pipeline design, and modeling decisions to support team knowledge and long-term maintainability.

OUR IDEAL CANDIDATE

• Data Engineering Foundation: 5+ years building and maintaining production-grade pipelines using SQL, Python, and modern ELT tools such as dbt, Fivetran, or Airflow.
• Snowflake Proficiency: Deep hands-on experience with Snowflake, including performance optimization, dynamic tables, and familiarity with Cortex AI capabilities.
• Semantic Modeling Experience: Ability to design and maintain semantic or metrics layers that enforce consistent business logic across the organization.
• AI Infrastructure Awareness: Working knowledge of RAG architectures and the data patterns — chunking, embedding, retrieval — that support LLM-driven applications.
• Data Quality Ownership: Strong instinct for reliability — you instrument pipelines with observability and validation from the start.
• End-to-End Mindset: Comfortable owning work from scoping through production — you define the problem, build the solution, and stand behind the outcome.
• Collaborative Communicator: Able to work fluidly with engineers, analysts, and non-technical stakeholders, translating ambiguity into clear data solutions.

ABOUT THIS ROLE

LVT is looking for a strategic, hands-on expert to own our company-wide AI transformation. As Operational AI Strategy Manager, you will define how LVT adopts and scales AI across every function, building the models, policies, and cross-functional partnerships that turn AI from an experiment into a competitive advantage. This role sits at the intersection of strategy and execution: you'll architect our AI roadmap, develop internal AI policy, rationalize our AI tool investments, and directly build AI components within our automation workflows alongside our Integrations and Data Engineering teams. This is a senior individual contributor position with broad organizational reach and executive visibility.

This role is based in-office at our American Fork, UT headquarters.

ROLE RESPONSIBILITIES

• Define and drive LVT’s enterprise AI adoption strategy, establishing a clear roadmap for how AI delivers business value across every department.
• Develop and own LVT’s internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.
• Audit and rationalize the AI capabilities embedded across LVT’s existing tech stack — driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend.
• Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions.
• Architect the AI strategy at the intersection of automation — defining where and how AI augments workflows built on platforms like Workato and Oracle Integration Cloud (OIC).
• Design and build the AI components embedded within automation flows, partnering with the Automation Integrations team to ensure seamless, intelligent execution.
• Champion AI literacy and adoption across LVT, partnering with business leaders to identify high-impact opportunities and drive measurable outcomes.
• Communicate AI strategy and progress to executive leadership, translating technical direction into clear business outcomes.

OUR IDEAL CANDIDATE

• Strategic and technical: You can write a boardroom-ready AI strategy in the morning and build a RAG pipeline in the afternoon — you’re equally comfortable in both modes.
• AI practitioner: You have hands-on experience building and deploying LLM-based solutions, including retrieval-augmented generation (RAG), vector databases, and model fine-tuning or prompt engineering at scale.
• Platform fluent: You understand enterprise automation platforms (Workato, OIC, or equivalent) and can reason clearly about where AI fits within complex integration flows.
• Tech stack evaluator: You know how to assess embedded AI features across SaaS and enterprise tools — cutting through vendor marketing to determine what’s actually delivering value, what’s redundant, and what should go.
• Policy-minded: You’ve developed or contributed to AI governance frameworks, usage policies, or organizational AI standards — and you understand the stakes of getting it right.
• Cross-functional influencer: You build trust with engineering, operations, and executive stakeholders alike, and know how to move initiatives forward without direct authority over every team involved.
• Data-environment comfortable: You’re experienced working within data platforms (e.g., Snowflake, Cortex) and partnering with data engineering teams to bring AI models from concept to production.
• Outcome-oriented: You measure your work by business impact — adoption rates, efficiency gains, cost reduction — not by the sophistication of the model you shipped.

What You’ll Do 

NetDocuments is seeking a Data Architect to lead the design and evolution of our enterprise data platform as we scale our legal document management solutions. In this role, you will define the architecture that powers how billions of documents are stored, processed, and surfaced, ensuring scalability, reliability, and security in a highly regulated environment. 

You will operate at the intersection of cloud transformation, large-scale distributed systems, and data governance, partnering closely with Engineering, Product, Security, and leadership to drive strategic data initiatives across the organization. 

You will: 

Lead Data Architecture & Cloud Transformation 

• Define and drive the architectural strategy for migrating large-scale, on-premises data systems to AWS, including re-platforming and re-architecture efforts. 

• Establish migration patterns, data residency strategies, and cutover plans that minimize risk and downtime. 

• Design and evolve cloud-native data architectures that support long-term scalability and performance. 

• Own Scalable Data Platforms 

• Lead the architecture of large-scale NoSQL data systems, including Couchbase, DynamoDB, and related technologies. 

• Oversee the design and governance of our Snowflake-based data platform, including data modeling, ingestion pipelines, and access patterns. 

• Ensure systems are optimized for performance, reliability, and cost efficiency at scale. 

Build Event-Driven Data Systems 

• Architect and implement event-based data infrastructure using technologies such as Kafka, SQS, and SNS. 

• Define standards for event schema design, topic management, consumer patterns, and data lineage. 

• Enable reliable, scalable, and observable data flows across distributed systems. 

• Drive Data Governance & Security 

• Establish and enforce data governance standards, including classification, access controls, encryption, retention, and auditability. 

• Ensure alignment with regulatory frameworks such as SOC 2 Type II and HIPAA. 

• Partner with Security teams on threat modeling and risk mitigation for data infrastructure. 

Influence Strategy & Execution 

• Lead architectural reviews, RFC processes, and documentation standards. 

• Partner with engineering leadership to influence roadmap prioritization through data-driven insights. 

• Represent the data platform in cross-functional planning and executive-level discussions. 

What You’ll Need to Be Successful 

• 10+ years of experience in data engineering, database engineering, or data architecture roles. 

• Strong experience designing and scaling large-scale NoSQL databases such as Couchbase, DynamoDB, or similar technologies. 

• Deep expertise in building cloud-native data platforms on AWS. 

• Experience leading complex on-premises to cloud migration initiatives. 

• Hands-on experience with event-driven architectures using Kafka, SQS, SNS, or similar technologies. 

• Experience with modern data platforms such as Snowflake or comparable data warehouses/lakes. 

• Strong understanding of distributed systems, scalability, and performance optimization. 

• Ability to evaluate complex architectural tradeoffs and make sound technical decisions. 

• Excellent communication skills, with the ability to translate complex concepts to both technical and non-technical stakeholders. 

• Bachelor’s degree in Computer Science or equivalent practical experience. 

What Will Make You Stand Out 

• Experience in legal technology, SaaS, or other regulated industries. 

• AWS certifications such as Solutions Architect Professional or Database Specialty. 

• Experience with infrastructure-as-code tools such as Terraform or CDK. 

• Proven experience designing enterprise-scale data governance and compliance frameworks. 

What You’ll Love About NetDocuments   

• The People!   

• HSA company contribution   

• 401K match at 4%    

• Flexible PTO (typically 3 to 4 weeks a year)   

• 10 paid holidays   

• Monthly contributions for life activities & wellness   

• Access to LinkedIn learning with monthly dedicated time to explore  

Compensation Transparency  

The compensation range for this position is: $210,000 - $230,000 

The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations. 

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

If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis. 

SUMMARY

Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning across a wide range of industries. 

The Billing Operations & Systems Manager owns the integrity of billing by ensuring deals, processes, and systems are aligned, scalable, and executable. This role serves as the central authority for billing governance, process design, and solution development, translating complex business requirements into efficient, system-enabled workflows. Acting as a bridge between Sales, Finance, Product, Engineering, IT, Revenue, and Billing, this position drives standardization, automation, and operational control in a high-volume, complex SaaS environment. This role partners closely with system owners and the engineering teams who are responsible for the hands-on system development.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Serve as the global owner and central point of control for global billing operations, defining and enforcing standards, governance frameworks, internal controls, and scalable workflows across intake, validation, approval, and execution.
• Review and approve standard and non-standard deal structures, contract terms, and complex billing scenarios to ensure operational viability and compliance.
• Identify process gaps, inefficiencies, and billing risks by monitoring performance metrics, error trends, and escalations; drive root cause resolution, standardization, and reduction of manual workarounds.
• Act as the escalation point for complex billing issues, ensuring timely resolution and preventing recurrence through process and system improvements.
• Translate complex business requirements, deal structures, and operational needs into structured, system-enabled solutions in partnership with IT, Engineering, and system owners.
• Lead cross-functional initiatives and program launches, partnering with Sales, Finance, Legal, Product, and Customer Success to align deal structures with billing capabilities.
• Develop and maintain SOPs, documentation, and process standards, and provide training and guidance to ensure process clarity, consistency, and audit readiness.

IDEAL EXPERIENCE, EDUCATION & TRAINING:

• Bachelor’s degree in Finance, Accounting, Information Systems, or related field.
• 7+ years of experience in billing operations, finance operations, deal desk, revenue operations , or related functions in a SaaS or subscription-based environment with high transaction volume and complexity.
• Project management or process improvement certifications preferred (PMP, Lean, Six Sigma).
• Demonstrated expertise in process design, re-engineering, and operational scaling.
• Proven experience leading cross-functional projects or programs from concept through execution including both operational and system-based initiatives.
• Experience working with billing, CRM, or ERP systems (Zuora, NetSuite, Salesforce, etc.).
• Experience translating business requirements into operational processes or system solutions and delivery of measurable operational efficiencies.
• Strong decision-making capability with ability to operate in fast-paced and ambiguous environments.
• Advanced Excel skills and experience working with large datasets.
• Strong communication and stakeholder management skills, with ability to challenge and influence.
• Experience in Quote-to-Cash (Q2C) environments within SaaS organizations.
• Proficiency with data tools (SQL, Snowflake, BI platforms).

#LI-REMOTE

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 

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.