MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

THE ROLE

As a Sr. Finance Manager, you will be the strategic financial backbone of our Marketing organization, transforming complex data into a growth engine. You will partner directly with senior Marketing leaders to optimize global investments, ensuring every dollar fuels our mission to dominate the market. By bridging the gap between high-level strategy and operational rigor, you’ll drive the financial discipline and cross-functional collaboration that sustains our competitive edge.

WHAT YOU'LL DO

• Lead Strategic Planning: Architect the Annual Operating Plan (AOP) and monthly close cycles, delivering executive-ready narratives that guide global investment shifts and ensure financial predictability.
• Advise Executive Leadership: Act as a primary finance business partner to Marketing leaders, utilizing sophisticated scenario modeling to influence high-stakes trade-offs and maximize program ROI.
• Drive Financial Governance: Establish and govern robust processes for accruals and budget management, ensuring total alignment between marketing strategy, departmental spend, and corporate accountability.
• Modernize Insights: Identify and implement process improvements using data visualization tools to translate complex spend patterns into clear, actionable business intelligence for cross-functional stakeholders.

WHAT YOU BRING

• Strategic Finance Expertise: Extensive experience leading complex FP&A cycles and financial planning (preferrably supporting Marketing, Sales, or similar Go-to-Market functions) with a focus on outcome-based budgeting and investment prioritization. 
• Executive Influence: Exceptional communication skills and the ability to act as a trusted advisor to senior stakeholders, translating financial data into compelling strategic recommendations.
• Analytical Strength: Financial modeling and proficiency with data systems (such as SQL, Snowflake, Tableau, or equivalent) to evaluate program performance and automate reporting workflows.
• Operational Ownership: A proactive mindset for managing financial governance and cross-functional processes, with the ability to operate independently in a fast-paced, high-visibility environment.
• We are primarily an in-office environment and therefore, you will be expected to work from the Chicago, IL, New York, NY, Raleigh, NC, or Santa Clara, CA office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE #LI-KQ1

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth is seeking a self-starting, detail-oriented Pricing Analyst to elevate our global pricing strategy through rigorous analysis and clear, executive-ready reporting. You’ll build and automate pricing visibility tools and applications using Snowflake/SQL, Python, and Excel/Google Sheets, monitor market and traffic trends, and translate data into actionable recommendations for leadership, the Global Pricing team, and Deal Desk on large deals and RFPs. The ideal candidate has 2–3 years in pricing or data analytics, strong Excel, SQL/Snowflake, and Python skills (reporting tools like Sigma; Streamlit a plus), and a track record of extracting insights from large financial datasets. Exceptional communication, collaboration, and attention to detail are essential; telecom experience is preferred but not required.

What You'll Do:

• Develop and enhance pricing analytics using Snowflake/SQL, Python, Excel, and Google Sheets.
• Build, automate, and maintain applications for pricing visibility for leadership.
• Present findings and recommendations to the Global Pricing team.
• Perform ad hoc analysis, including pricing and traffic analysis, for strategic initiatives.
• Analyze market trends and performance to recommend pricing adjustments.
• Collect, organize, and maintain pricing intelligence through scalable databases.
• Partner with the Global Pricing Team and Deal Desk on large deals and RFPs.
• Monitor daily, weekly, and monthly trends, tracking changes and communicating actionable insights.
• Manage Snowflake databases and SQL queries to ensure data integrity and accessibility.

What You Need:

• Education:   
  • Bachelor’s degree in business, economics, analytics, statistics, or a related field.
• Experience: 
  • 1–3 years of experience in pricing or data analytics.
• Knowledge:  
  • High proficiency in Microsoft Excel; experience with Python, SQL/Snowflake, and reporting tools (e.g., Sigma). Streamlit knowledge is a huge plus.
• Skills:
  • Strong aptitude for analytics with a track record of extracting value-added insights from large financial datasets.
  • Exceptional attention to detail and follow-through.
  • Excellent written and verbal communication skills; quick to absorb and synthesize information.
  • Strong critical thinking, problem-solving, and organizational skills.
  • Ability to collaborate effectively with other teams.
  • Prior telecom experience preferred, but not required.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains. In this role, you will architect core datasets and semantic foundations, lead complex cross-functional initiatives, mentor engineers and analysts, and establish engineering and governance patterns for AI agent building and lifecycle management. You will also provide analytics-facing leadership for Sigma Administration and Snowflake Administration consistent with senior expectations.

What You'll Do:

• Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains.
• Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts.
• Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment.
• Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers.
• Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues).
• Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks.
• Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions.
• Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation). 
• Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows.
• Represent analytics engineering in architecture reviews and governance councils.
• Participate in tool/vendor evaluations and implementation planning within approved stack and capability categories.

What You Need:

• Bachelor’s degree required; Master’s preferred (or equivalent senior-level experience). 
• 5–8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering.
• Expert SQL and deep experience with dimensional modeling and enterprise metric consistency.
• Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing). 
• Demonstrated leadership in driving technical initiatives and mentoring other engineers. 
• In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance). 
• Working leadership knowledge of production Snowflake administration (analytics-facing).

Bonus Points:

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Experience:

• Strong Python proficiency for automation, validation frameworks, and data tooling.
• Experience implementing semantic/metric layer tooling (category) at scale.
• Familiarity with data cataloging/lineage tooling (category).
• Experience coordinating orchestration patterns with tools such as Prefect.
• Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms). 
• Technical vision with ability to balance innovation and practical implementation.

Technical Skills:

• Expert SQL & architecture: Set modeling direction across domains; design for scalability, maintainability, and cross-domain consistency; define performance standards and anti-patterns.
• dbt architecture leadership: Own dbt project structure, macro strategy, testing strategy, documentation standards, and deployment patterns; prevent regressions via CI/CD guardrails.
• Enterprise semantic modeling strategy: Define semantic modeling patterns (entities, relationships, governed metrics) used consistently across BI and agent consumers; reduce duplicated logic.
• Snowflake Administration (analytics-facing, production): Lead analytics-oriented admin patterns: RBAC conventions for consumption, access governance workflows, cost/performance guardrails, operational runbooks, and environment promotion hygiene.
• Sigma Administration (lead): Own workspace governance: organization/folder strategy, access governance, content standards, usage-quality controls, and enablement patterns.
• Agent building enablement (org patterns): Establish standardized structures and governance to support AI agents: provenance/citation-ready data, versioned configurations where applicable, evaluation datasets, exception handling/review workflows, and lifecycle maintenance patterns.
• Observability engineering: Define monitoring/alerting standards for freshness/volume/quality; implement basic anomaly detection guardrails and incident response playbooks.
• AWS ecosystem awareness: Understand how AWS constraints (security posture, networking, cost governance) affect data access, operations, and analytics/agent enablement.
• Orchestration standards: Define integration patterns with Prefect (dependency design, SLA management, failure handling) and expectations for pipeline reliability.
• n8n platform patterns: Standardize n8n usage for operational workflows (approvals/escalations/exception queues/integrations) supporting analytics and agent operations.

Soft Skills:

• Strategic thinker with ability to align technical solutions with business objectives.
• Strong problem-solving and analytical skills; able to address complex technical challenges effectively.
• Clear communicator; engages effectively with both technical teams and business stakeholders.
• Effective mentor; promotes technical excellence among engineering teams.
• Self-directed, with ability to manage multiple technical initiatives and priorities.
• Detail-oriented with commitment to quality in architecture, code, documentation, and solution design.
• Passionate about leveraging emerging AI technologies and automation platforms to improve business operations.
• Experience contributing to the development of technical talent and engineering capabilities.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

About the Position

We're looking for a Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help build and scale the data infrastructure that powers our drug development platform. In this role, your primary focus will be supporting the Data Science team — building the coherent, well-structured data models, feature engineering pipelines, and evidence layers that underpin their scientific work. You'll also be responsible for ingesting data from a wide variety of sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets using modern data tooling.

This is a foundational engineering role for someone who takes pride in building things right: reliable pipelines, well-structured data models, and systems that others can trust and build on. You'll work closely with Data Scientists and other engineers across the SDI team to ensure that high-quality data is consistently available where and when it's needed — and structured in a way that directly accelerates scientific discovery.

The ideal candidate is deeply fluent in Snowflake and dbt, has strong opinions about data modeling best practices, and has experience handling large and complex datasets across diverse ingestion patterns. You thrive in environments where data quality and engineering rigor are treated as first-class concerns.

Responsibilities

• Partner closely with Data Scientists and other teams to build coherent data models, feature engineering pipelines, and structured evidence layers that directly support scientific analysis and machine learning workflows.
• Design and build scalable ingestion pipelines to onboard data from diverse sources including REST APIs, flat files, relational databases, and licensed third-party datasets.
• Develop and maintain robust data models in dbt, adhering to best practices around modularity, testing, documentation, and layered architecture (staging, intermediate, mart).
• Orchestrate pipelines using Dagster to ensure reliable, observable, and maintainable workflows.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthiness of datasets across the platform.
• Collaborate with Data Scientists and analysts to understand data needs and translate them into well-structured, reusable models.
• Handle large-scale data movement and transfer scenarios, applying appropriate tooling and patterns to ensure efficiency and reliability at scale.
• Document data models, pipeline logic, and transformation assumptions to support discoverability and data governance.

About You

• You have 5+ years of experience in data engineering, with a strong track record of building and maintaining production-grade pipelines.
• You are deeply fluent in dbt and follow best practices rigorously—including modular model design, sources and refs, testing (schema + data), documentation, and environment management.
• You have hands-on expertise with Snowflake, including schema design, performance tuning, and data governance patterns.
• You have experience with at least one modern orchestration tool—we use Dagster, but experience with Airflow or Prefect is equally welcome.
• You have broad ingestion experience across source types: REST APIs, flat files (CSV, JSON, Parquet), relational databases, and vendor-licensed datasets.
• You have worked with large datasets (TB -> PB scale) and understand the engineering considerations that come with scale—partitioning, incremental loading, efficient data movement, and storage optimization.
• You're a strong data modeler who thinks carefully about how data is structured, named, and layered for downstream usability.
• You value documentation, testability, and building things others can maintain and extend.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You have experience with data quality and observability tooling such as Elementary, Great Expectations, or similar frameworks — and you treat data quality as a first-class engineering concern, not an afterthought.
• Bonus: You have experience with Spark, Databricks for large-scale data processing workloads.
• Bonus: You have experience with large-scale data transfer tooling such as AWS DataSync, AWS S3 Transfer Acceleration, or equivalent cloud-native data movement services.
• Bonus: You have experience in healthcare or life sciences data environments, including familiarity with EHR, claims, or other biomedical datasets.

Total Compensation Range: $177,500 - $232,000

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

Position Overview

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Required Qualifications and Experience

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth is seeking a data-driven, collaborative, and detail-oriented individual to join the Messaging Product Operations team. The Product Analyst will focus heavily on recurring and ad hoc reporting, data analysis, and transforming data into insights that improve operational efficiency. This role blends technical skills with knowledge management, the ability to communicate findings clearly, and work effectively with teams across the organization. A successful Product Analyst involves a career path with promotional opportunities into Product Management, Business Operations, or further advancement within Product Operations.

As a Product Analyst at Bandwidth, your primary focus will be using data to support and optimize Messaging product performance and improving operational efficiency. You will build and maintain reporting, identify operational opportunities through analysis, and help create scalable internal processes and tools. While the role is technical, you will also collaborate with internal teams to share insights and support product readiness in a clear and approachable way. You may also be asked to contribute to Messaging’s knowledge management through documentation and collaborating on internal and external communications.

What You'll Do:

• Data Reporting and Analysis – Own recurring and ad hoc reporting related to product performance, operational metrics, and customer usage. Use Excel and SQL to extract, clean, and analyze data, and present findings to stakeholders in ways that inform product and operational decisions. Data will primarily be pulled from our data warehouse, Snowflake, and reported through spreadsheets, slide decks, or visuals in our BI tool (Sigma).
• Improve Operational Processes – Use data to identify inefficiencies or gaps in internal processes. Contribute to the development of workflows that support product launches, issue identification, ongoing product health and operational readiness. Support automation opportunities when identified.
• Build Operational Tools and Dashboards – Create spreadsheets, reporting templates, and dashboards that provide visibility into product and operational performance. 
• Collaborative Insights Sharing – Communicate insights and patterns from data to internal teams in a way that is understandable to both technical and non‑technical audiences. Build relationships with partners in Product, Engineering, Operations, and Finance to ensure shared understanding and alignment around findings.
• Issue Investigation – Analyze product‑related data to understand trends, identify root causes, and highlight opportunities for improvement.
• Be a great communicator - work well with customers and internal teams. Have proven written, verbal and listening skills to help solve complex problems using tact, common courtesy, persuasion and discretion.
• Develop subject matter knowledge in Messaging products and the supporting ecosystem.
• Contribute to internal and external knowledge management with a focus on documentation for data workflows, reporting processes, and analysis methods. 
• Be a great team member, partner with Bandmates to effectively communicate, ask insightful questions, align resources, prioritize work, and identify themes or patterns to persistently and proactively provide self-service solutions whenever and wherever possible.

What You Need:

• Education:
  • Bachelor’s degree
• Experience:
  • Entry level
• Knowledge:
  • Proficiency in Excel, including pivot tables, lookup functions, formula building, and data manipulation
  • Proficiency in SQL, including querying, filtering, joining, and aggregating data
  • Ability to transform raw data into insights and presentations that support operational and product decisions
  • Strong skills in spreadsheets, documentation, and presentation building
  • Ability to work with high accuracy in a fast‑paced environment while managing multiple tasks
  • Strong analytical, problem‑solving, and organizational skills with attention to detail
  • Critical thinker with a solution‑oriented approach
  • Strong written communication skills with the ability to clearly summarize data findings, including the ability to adapt based on audience
  • Ability to build positive working relationships across teams

Bonus Points:

• Skills:
  • Familiarity with Python

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

The Global Revenue Cycle Analyst is a meticulous and inspiring team member dedicated to ensuring the precision and timeliness of billing and invoicing across our global markets. As a detail-oriented critical thinker, you will learn complex functions and leverage sharp analytical skills to resolve intricate billing discrepancies within a fast-paced environment. This role is essential to maintaining global billing integrity by navigating nuances with adaptability and high-level accuracy. 

What You'll Do:

• Runs the monthly billing cycle utilizing multiple billing platforms and resources, ensuring accurate and timely delivery of customer invoices. Responsible for analyzing telecom contracts, invoices, and various billing reports assisting with internal customer inquiries confirming the validity and accuracy of associated billing, and making billing adjustments as necessary.
• Supports internal teams and global customers by generating manual invoices and custom invoice lines as needed. Acts as a key resource for resolving non-standard billing requests, ensuring accuracy and consistent service for complex international accounts.
• Conducts monthly audits across multiple billing platforms to verify the accuracy of records and ensure SOX compliance. Collaborates with internal and external auditors to identify and remediate potential material weaknesses, maintains required documentation, and presents walkthroughs to validate the reliability of manual and automated billing processes.
• Responsible for resolving unexpected challenges in a limited amount of time. Analyzing large data sets provided by internal teams to validate/resolve existing issues and integrating processes to make reviewing data more efficient.  Working with the internal teams to ensure that they have completed the necessary steps to resolve any errors found by the analyst ahead of the following billing cycle.
• Works closely with Finance to support monthly revenue close cycle within established deadlines. Performing regular testing to ensure new solutions/systems enhancements are adequately tested to minimize material impacts on Bandwidth’s revenue stream.
• Acts as a Subject Matter Expert (SME) for product offerings, maintaining strong partnerships with key product teams to oversee the billing lifecycle of new services, from initial SKU creation to final invoice delivery. Proactively participates in the SKU creation process, collaborating with product owners and leadership to advocate for billing feasibility and ensure all new products and services meet our billing requirements.  
• Foster relationships with key billing partners such as Billing Dev Ops, Netsuite Team, and other internal stakeholders; establish strong partnerships to effectively communicate status, define critical issues & impacts, design mitigation plans and help articulate/drive required decisions.
• Leads billing cycle stakeholder meetings, prepares, and sends out necessary information ahead of the meetings. Attends department meetings and document meeting notes to inform the team and absent stakeholders.
• Prepare and execute the monthly Revenue Share process while working closely with the Carrier team and acting as the liaison between internal teams and the Revenue Share customer.
• Functions as a cross-trained resource providing critical backup support for the Billing Configuration Specialist and Business and Revenue Assurance Data Analyst. Actively assists with departmental projects and ensures operational continuity by covering key responsibilities during team absences.
• Knowledge of Bandwidth contracts including service order forms and rate sheets, to determine the different process flows based on the product and the pricing scheme used.
• Research discrepancies within contracts and maintain open communication with Sales Support and others in the Sales organization, to clarify all details and intent of all Onboarding cases.
• Ensure all contracted rates are entered into billing accounts correctly to prevent downstream impacts such as billing disputes and issuing of large credits on customer accounts including new customer and existing customer rate changes.
• Process and complete all Onboarding cases within 2-day SLA, while maintaining at least a 98% level of accuracy.
• Ensures accuracy by demonstrating command and knowledge of billing processes and procedures, to certify rates are implemented and made effective on the correct dates.
• Conducts training and knowledge transfer to other Cycle & Revenue Assurance team members

Working Conditions:

• Works in a normal office environment with occasional travel required.
• Weekend, holiday, and night work may be required based on billing cycles and month end close.

What You Need:

• Bachelor’s Degree
• At least 1+ years experience in billing
• 1-2 years analytical experience
• Strong verbal and written communication skills
• Ability to work within the parameters of the outlined Working Conditions above.
• Ability to communicate complex and/or technical information clearly and concisely to all levels within the organization using tact, common courtesy, persuasion, and discretion 
• Strong MS Excel skills
• Attention to detail, critical thinking, analytical, problem-solving, and organizational skills
• Ability to focus, complete tasks accurately and thrive in a fast-paced environment
• Ability to think creatively, improve processes, evaluate and resolve problems effectively.
• Positive attitude is a must!

Bonus Points:

• Previous Telecom billing experience is a plus.
• Salesforce, Netsuite or Intercom experience
• General accounting and financial reporting as it applies to the billing function
• Snowflake, SQL database, Sigma

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth’s Billing Operations Team is responsible for ensuring Bandwidth customers receive accurate and timely invoices and provide timely payment. The Global Billing Analyst I would be responsible for performing overall customer billing support while building account knowledge and relationships with our customers. The successful candidate inspires other team members, provides excellent global customer service, manages complex functions, thinks creatively, and solves problems in a fast-paced environment.

What You'll Do:

• Works independently to solve common unambiguous global billing inquiries via telephone and ticketing system within established SLAs resolving issues utilizing multiple billing platforms, collaboration and resources.
• Develops proficiency with tools, reports and portals used by the billing operations team to handle a variety of customer billing inquiries.
• Learns how to analyze global contracts, invoices, and billing detail records to assist with internal and external customer inquiries confirming validity and accuracy of associated billing. Utilizes training material, documentation, and collaboration.
• Processes invoice disputes in accordance with documented processes and procedures while working directly with customers to correct issues, building and maintaining client relationships. Collaborates with team and/or manger when necessary. Escalates when appropriate.
• Able to generate solutions using critical thinking; however, solutions are limited in scope.
• Creates relationships with key billing partners such as Customer Success, Sales, Finance, and other internal stakeholders to obtain desired results.
• Regularly attending product meetings to obtain knowledge on new products and existing products. Learning product features and how they flow through the billing system at a high level.
• Supports monthly revenue close cycle within established deadlines.
• Demonstrates accountability and ownership for the quality and timeliness of work.
• Manages own time and follows instruction well. Utilizes available documentation to resolve issues, using help from leadership as a final tool.
• Serves our customers by communicating timely, accurately, empathetically and respectfully, always displaying the Bandwidth brand. Builds credibility by making commitments and following through while building rapport. Communicates with other team members when solving issues while updating leaders/asking for help from more senior team members when needed.
• Interfaces with Bandwidth leadership effectively communicating status, defining critical issues & impacts, designing mitigation plans, and articulating/driving required decisions. Understands when and how to escalate to management to identify optimal solution for customers; may collaborate with team or manager for guidance.
• Complete special projects that require collecting, analyzing, and processing global telecommunications and network service data.

What You Need:

• Education:
  • Bachelor’s Degree
• Experience:
  • 1 to 2 year experience in customer service.
  • 1 year of billing experience a plus!
• Skills:
  • Strong verbal and written communication skills.
  • Ability to work within parameters of the outlined working conditions listed above.
  • Ability to communicate complex and/or technical information clearly and concisely to all levels within the organization using tact, common courtesy, persuasion and discretion.
  • Intermediate - Advanced Excel skills.
  • Critical thinking, analytical, problem solving, and organizational skills.
  • Ability to focus, complete tasks accurately and thrive in a fast-paced environment.
  • Ability to think creatively, improve processes, evaluate and resolve problems effectively.
  • Positive attitude is necessary!

Bonus Points:

• Experience:
  • 1-2 years analytical experience. Salesforce, Netsuite or Zendesk experience.
  • Experience in billing a plus.
• Knowledge:
  • Microsoft Office, SQL/Snowflake database

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science team, driving the highest-impact data science initiatives across Bandwidth. They own and lead complex, ambiguous end-to-end data science projects, from opportunity identification and problem framing through model deployment and business adoption, ensuring measurable impact on revenue, efficiency, and competitive differentiation. They act as a force multiplier by setting technical standards, shaping data science strategy, and elevating the capabilities of the broader team through mentorship, code review, and thought leadership. They also partner with senior executives, product leadership, and cross-functional teams to embed data-driven decision-making into Bandwidth's core business processes and long-term strategy.

What You'll Do:

• Drive end-to-end ownership of high-complexity, high-visibility data science projects, independently navigating ambiguity from problem definition through production deployment and business impact measurement.
• Architect and implement advanced machine learning systems, including supervised and unsupervised learning, deep learning, ensemble methods, and large-scale optimization, applying rigorous evaluation to ensure production-grade reliability and performance.
• Define and champion best practices for model development, validation, deployment, and monitoring; establish technical standards that elevate quality and consistency across the team.
• Translate ambiguous, strategic business challenges into well-scoped data science problems; lead discovery processes with senior stakeholders to align on objectives, constraints, and success criteria.
• Deliver executive-level data-driven narratives that communicate the strategic value of data science, influencing senior leadership and cross-functional decision-makers to drive resource allocation and organizational alignment.
• Serve as a technical lead and primary mentor for intermediate and junior data scientists, conducting code reviews, establishing growth plans, and fostering a high-performance team culture.
• Proactively identify emerging opportunities to apply new techniques, including cutting-edge research, novel architectures, and industry-leading tools to advance Bandwidth's competitive position.
• Partner with data engineering, software development, and platform teams to design scalable data and AI infrastructure that enables reliable, high-throughput machine learning workflows at enterprise scale.
• Oversee model performance, data quality, and system health in production environments; lead root-cause analysis and implement robust solutions for drift detection, retraining, and performance degradation.
• Lead the design and implementation of CI/CD pipelines for AI projects, enabling rapid iteration, reproducibility, and safe deployment practices.
• Represent the Data Science function in cross-departmental working groups, product planning sessions, and strategic initiatives requiring deep analytical expertise.

What You Need:

• Education:  
  • Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred.
• Experience: 
  • 7+ years of directly related data science experience, with a demonstrated record of independently delivering impactful, production-grade ML/AI solutions; or a graduate degree plus 5+ years of equivalent experience.
  • Prior experience in a technical lead or informal management capacity is strongly preferred.
• Skills:
  • Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem including pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and MLflow or equivalent MLOps tooling.
  • Advanced mastery of statistical inference, experimental design, and machine learning, including hypothesis testing, causal inference, regression, classification, clustering, deep learning architectures, and model evaluation at scale.
  • Expert knowledge of data structures, SQL, and distributed data processing frameworks (e.g., Spark, BigQuery, Snowflake); strong familiarity with REST APIs and cloud-based ML platforms (AWS, GCP, or Azure).
  • Demonstrated ability to independently define, scope, and deliver solutions to ambiguous, high-stakes business problems through data mining, analytics, statistical modeling, and predictive systems.
  • Exceptional communication and executive presence; proven ability to convey complex technical concepts and strategic insights to product leadership and non-technical audiences in a compelling, business-focused manner.
  • Strong leadership and organizational skills with a track record of mentoring teams, driving cross-functional alignment, and managing multiple high-priority initiatives in a fast-paced environment.
  • Proven ability to influence without formal authority, building consensus and driving adoption of ML/AI solutions across diverse stakeholders.

Bonus Points:

• Familiarity with big data technologies such as Kafka, Flink, Hadoop, Spark, or distributed computing frameworks for processing and analyzing large-scale datasets efficiently.
• Experience with MLOps tooling and production ML system design, including feature stores, model registries, and monitoring frameworks.
• Experience in telecommunications, SaaS, or communications technology industries.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Position Overview

ATLAS SP is seeking a VP, Finance Technology to join the Data & Enterprise Services team. This is a senior, hands-on role focused on technology solutions supporting fund accounting, financial reporting, and finance operations.
The individual will work closely with Finance and Operations teams to automate accounting workflows, improve data quality, and enhance the reliability and control of finance systems and reporting.
The role requires a hands-on technologist with strong business analysis skills, responsible for finance platforms and data pipelines supporting NAV, investor reporting, expense allocation, risk-related reporting, and legal-entity P&L.
This is an individual contributor role with significant ownership and delivery responsibility.

Primary Responsibilities
    
•    Build and support technology solutions for fund accounting, expense allocation, P&L reporting, fee calculation, and financial risk reporting.
•    Design and maintain data integrations, pipelines, and reconciliations across finance, operations, and external systems.
•    Work closely with third-party application teams and vendors to perform system integrations and onboard external platforms into the firm’s finance ecosystem.
•    Partner with Finance and Operations teams to translate accounting processes and requirements into scalable technical solutions.
•    Operate as a hands-on technologist with strong business analysis skills, owning solution design and delivery.
•    Collaborate with other engineers and maintain strong documentation and release discipline.

Qualification and Experience

•    5+ years of experience in Finance Technology or related roles within financial services or asset management.
•    Strong understanding of fund accounting and financial reporting concepts, including NAV, P&L, balance sheet, expense allocation, and fee calculations are plus.
•    Working knowledge of FIS Investran or similar loan servicing and accounting platforms is a plus. 
•    Strong SQL experience (e.g., Snowflake, SQL Server, or equivalent), including data modeling and ETL development.
•    Hands-on programming experience in .NET (C# preferred) and Python for building production-grade applications, data processing, and automation are desired
•    Experience designing and supporting system integrations with third-party applications and external vendors.
•    Proven ability to build reconciliation frameworks and data controls across accounting and reporting data sets.
•    Strong business analysis skills, with the ability to translate accounting and operational requirements into technical solutions.
•    Solid problem-solving and troubleshooting skills across complex, multi-system data flows.
•    Excellent communication skills, with the ability to work closely with Finance, Operations, and technology partners.
•    Bachelor’s degree in computer science, Engineering, Finance, Accounting, or a related field, or equivalent practical experience.

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