Love our Customers is our #1 Value at Okta.   The Okta Customer First Team lives and breathes this every day.  A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta.  This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates.   

The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy with the goal of providing exceptional data-driven content at scale that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases but also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our Digital customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your programs along the way. 

You will partner with many cross-functional groups within Okta, including Product, Business Technology, Data, Marketing, Customer Success, Renewals, Sales, and outside vendors. Success in this role will require both a strong ability to understand the needs of large Enterprise customers and develop solutions that scale. You will obtain in-depth knowledge of Okta products, how they are adopted, and understand our customers and why they stay with Okta while leveraging underlying data to inform new programs and opportunities. You’ll also influence how we engage our customers in a human, meaningful, and value-driven manner. This is the chance to shape a highly visible area of the business that directly impacts our bottom line. 

Job Duties and Responsibilities: 

AI-Driven Automated & Insights Deck Creation:

• Automate the creation of presentation decks and other insights via a deck automation tool, prioritizing the use of AI prompting models to generate proactive and personalized customer narratives. 
• Drive the strategic shift from traditional rule-based logic to scalable, generative AI workflows for producing tailored content that maximizes customer value. 

Customer-Centric Approach:

• Collaborate closely with post-sales customer-facing teams to understand the needs and challenges of our enterprise customers.
• Translate customer and product insights into effective and persuasive deck content that addresses their pain points and highlights Okta's solutions.

Scalability and Product Alignment:

• Design solutions that scale to accommodate a diverse range of enterprise customer profiles.
• Regularly update and refine decks based on product usage data, ensuring they remain aligned with the latest features and capabilities of Okta and drive strong product adoption and retention.

Data-Informed Decision Making:

• Creatively leverage AI techniques to analyze product usage data and program performance, identifying patterns in what is working and what is not working at scale. 
• Develop methodologies to quantify and represent the business impact related to retention and adoption goals through AI-driven automation programs. 

Collaboration and Feedback:

• Work closely with cross-functional teams, including Product Management, Marketing, Data, and Customer Success, to gather insights and feedback for continuous improvement.
• Actively participate in collaborative sessions to align deck content with overarching business goals.

Minimum Required Skills and Abilities:

• AI/Automation Mindset: Proven ability to use data to build insight. Must possess the mindset to transition program design from traditional if/then decision trees to effective AI prompting and LLM workflows. Continuously test, measure, analyze, and recommend optimizations for existing programs and new opportunities
• Possess expertise in data strategy, analysis, and management related to customer marketing, growth marketing, and demand generation skill sets
• Strong understanding of enterprise customer needs and the ability to translate those needs into compelling deck content 
• Knowledge of Salesforce.com, Gainsight, Pendo, Tableau, Databricks, Snowflake, etc. to get the data and insights you need to successfully design, execute, and monitor programs. 
• Bonus points if you have experience with Matik or related deck-automation tools.
• Possess knowledge in the use of various content types and engagement methods, such as AI agents, video, in-app guides, and email, with demonstrated experience in prompt engineering for generating actionable insights and compelling content
• Ability to leverage an effective track record of success to positively influence program execution across teams
• Display effective communication and team collaboration skills
• Demonstrate excellent communication skills (presentation, verbal and written)

Qualifications:

• Prior experience managing digital success programs, as a growth product manager/marketer, or automating insights.
• Experience in building enterprise SaaS adoption programs is desired
• 5+ years of related experience
• Bachelor’s degree; advanced degree in a business, marketing, analytics, or technical field preferred
• Adaptability, flexibility in the face of changing business requirements and conditions
• Knowledge in identity, security, access management, workflow, and/or developer-facing products

#LI-Remote
P22165

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-NK1

Who you’ll be working with

We ideate, create, and coordinate. We analyze, strategize, organize, and prioritize. We bridge the communication channel between the client and our project team. We chart the course and navigate the product roadmap sprint by sprint. Some of us are product owners. Some of us are scrum masters. Many of us wear multiple hats and do whatever’s needed to deliver successful projects.

What you’ll be doing

• Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend.
• Collaborate with Product Managers, Designers, and Engineers to translate business requirements into high-quality technical solutions.
• Build reusable, maintainable, and performant UI components and backend services
• Develop and integrate RESTful and/or GraphQL APIs, ensuring reliability and scalability
• Contribute to architecture discussions and help define best practices across frontend and backend systems.
• Ensure code quality through code reviews, unit/integration testing, and adherence to engineering standards.
• Optimize application performance, scalability, and security across the stack.
• Participate in agile ceremonies including sprint planning, standups, and retrospectives.
• Troubleshoot, debug, and resolve production issues in collaboration with DevOps and QA teams.
• Mentor junior engineers and contribute to a culture of continuous improvement and learning.

What you’ll need to be successful (Requirements)

• Minimum of 4+ years of hands-on development experience in fullstack development
• Strong proficiency in React/NextJS (TypeScript), including state management (e.g., Redux, Context API) and modern frontend practices
• Solid experience with backend development using Python (Django, FastAPI) or Node.js (Express, NestJS)
• Experience designing, implementing and consuming RESTful APIs and/or GraphQL API services
• Strong understanding of database design and experience with relational databases (e.g., PostgreSQL, MySQL)
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control (Git) and CI/CD pipelines through github actions
• Strong problem-solving skills and ability to work in a fast-paced, client-facing environment
• Excellent communication skills and ability to collaborate across cross-functional teams
• Experience working in agile or scrum-based environments
• Familiarity with cloud-based logging, monitoring, and security tools

Bonus Points for these (Preferred Experience)

• Experience with headless CMS platforms (e.g., Contentful, Contentstack, Sanity)
• Familiarity with eCommerce platforms (e.g., Shopify, BigCommerce, Saleor)
• Experience with microservices architecture and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices, infrastructure-as-code (Terraform, CDK), and monitoring tools (Prometheus, Grafana)
• Experience working on healthcare, fintech, or regulated industry projects
• Experience with Data analytics platforms like GCP BigQuery, snowflake

Need another reason to hit the “apply” button? 

• Codal is a global agency with over 200 employees, and offices in the US, Canada, the UK, and India 
• We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work
• Office snacks and drinks + a fancy Bevi water machine with flavored water 
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• Employer 401k match - 4% 
• A recreational group that regularly competes in city leagues for softball and volleyball 
• An office in the heart of downtown Chicago with a gym, food court, Walgreens, rooftop bar, outdoor sports court, and other amenities
• Working hybrid for in-person collaboration and sprint-planning days

**Please note, this is a hybrid role in Chicago.  Applicants should be located in the Chicagoland are or open to relocating on their own. 

RAPP Chicago is looking for a Director, Technology Data to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

We are seeking a highly experienced Data Architect to guide our organization in designing, implementing, and optimizing enterprise data architecture. This role is critical in shaping data strategy, ensuring scalability, and enabling advanced analytics and AI-driven solutions. As a Data Architect, you will provide thought leadership, evaluate current systems, and recommend best practices to maximize the value of data assets.

YOUR RESPONSIBILITIES:

• Strategic Data Architecture
  • Define and implement enterprise-wide data architecture strategy aligned with business goals.
  • Develop and maintain data models (conceptual, logical, physical) that support operational and analytical needs.
  • Evaluate emerging data technologies and recommend adoption strategies.
• Consulting & Advisory
  • Assess current state of data platforms, pipelines, and governance frameworks.
  • Provide expert recommendations to improve scalability, security, and performance.
  • Advise executives and stakeholders on data modernization initiatives (e.g., cloud migration, data mesh, data fabric).
• Data Management & Governance
  • Establish standards for data quality, metadata management, lineage, and master data.
  • Partner with data governance teams to ensure compliance with regulatory and security requirements (e.g., GDPR, CCPA, HIPAA).
• Solution Design & Delivery
  • Design and oversee implementation of data warehouses, data lakes, and streaming platforms.
  • Ensure integration across structured, semi-structured, and unstructured data sources.
  • Define reference architectures and reusable frameworks for data pipelines and APIs.
• Collaboration & Leadership
  • Partner with business units, engineering teams, and analytics teams to ensure solutions meet requirements.
  • Mentor and guide data engineers, analysts, and architects on best practices.

REQUIRED SKILLS:

• 7+ years of experience in data architecture, data engineering, or related fields.
• Proven expertise in cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Apache Spark, Kafka, etc.)
• Strong knowledge of data modeling, ETL/ELT, and API-based integrations.
• Strong programming skills in multiple languages such as Python, SQL, Scala, or Java
• Solid understanding of data governance, security, and compliance frameworks.
• Experience with enterprise data governance, security frameworks, and regulatory compliance (GDPR, CCPA, etc.)
• Demonstrated ability to translate business requirements into technical solutions and communicate complex concepts to non-technical stakeholders

Preferred Qualifications

• Experience with AI/ML data readiness and MLOps integration.
• Experience with data mesh architectures, event-driven systems, and microservices patterns
• Strong background in data privacy, security, and compliance frameworks
• Previous experience in consulting or agency environments serving multiple clients and use cases

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $126,000 - $138,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

About the Role

We are seeking a highly skilled and detail-oriented UKG Business Analyst / Systems Administrator to join our team. In this hybrid role, you will be responsible for analyzing business processes, managing and optimizing key enterprise platforms, and driving data-informed decision-making across the organization. The ideal candidate will act as the system technical owner and will bring deep technical expertise in UKG, Snowflake, and Power BI, combined with a passion for leveraging agentic AI to automate and improve operational workflows. The candidate will be responsible for ongoing system optimization, roadmap planning and cross-system integration. UKG is not a nice to have in this role- it is a MUST HAVE. 

Key Responsibilities

Business Analysis & Process Improvement

• Partner with stakeholders across HR, Finance, Sales, Operations, and IT to gather requirements, document workflows and end-to-end data flows across systems, and identify opportunities for improvement.
• Analyze business data to surface trends, inefficiencies, and actionable insights.
• Lead process redesign initiatives and translate business needs into technical solutions.
• Design, build, and deploy agentic AI solutions to automate repetitive processes and enhance organizational efficiency.

UKG Administration & Support

• Serve as a subject matter expert and primary administrator for UKG (Pro/Dimensions/Ready), including system configuration, user management, and troubleshooting.
• Collaborate with HR and Payroll teams to ensure accurate workforce management, scheduling, and compliance reporting.
• Manage UKG integrations with downstream systems and maintain data integrity across platforms.

Data Management & Analytics (Snowflake & Power BI)

• Develop, maintain, and optimize data pipelines and data models within Snowflake.
• Build and publish interactive Power BI dashboards and reports for business stakeholders.
• Ensure data governance, quality, and security standards are upheld across all reporting environments.
• Collaborate with data engineering teams to expand the organization's analytics capabilities.

AI & Automation

• Identify high-impact use cases for agentic AI tools and autonomous workflow agents.
• Build, test, and iterate on AI-driven solutions using modern frameworks and platforms (e.g., LangChain, Microsoft Copilot Studio, Anthropic Claude, or similar).
• Document and train teams on new AI-powered processes and tools.
• Stay current on emerging AI technologies and recommend adoption strategies to leadership.
• Partner with integrations/automation teams to design and validate system integrations.

Required Qualifications

• Education: Bachelor’s degree in business administration, Information Systems, Computer Science, Data Analytics, or a related field.
• Experience: Minimum 8 years of experience in a business analyst, systems analyst, or related role.
• UKG: Demonstrated hands-on experience administering and configuring UKG workforce management solutions. Lead UKG system enhancements, releases and configuration changes aligned to HR and Payroll priorities. Maintain deep understanding of UKG data structures (employee, time, payroll) and downstream impacts
• Snowflake: Proficiency in writing SQL and building/managing data models in Snowflake.
• Power BI: Strong experience developing reports, dashboards, and data visualizations in Power BI (DAX knowledge a plus).
• Agentic AI: Working knowledge of building and deploying AI agents or automation workflows to solve real business problems. Experience in building Workato recipes for smooth operations of HR and Finance processes.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Excellent communication skills — able to translate technical concepts for non-technical audiences.
• Ability to manage multiple priorities and projects in a fast-paced environment.
• Comfortable in troubleshooting cross-system data issues and ensuring consistency across platforms

Preferred Qualifications

• Experience with HR/HCM systems integration and API connectivity.
• Familiarity with Azure, AWS, or GCP data ecosystems.
• Knowledge of Python or R for data analysis and automation scripting.
• Experience with tools such as LangChain, AutoGen, Microsoft Copilot Studio, Anthropic Claude, or similar agentic AI frameworks.
• UKG Pro certification.
• Power BI certification (PL-300 or equivalent).
• In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly.

Diversity & Inclusion

We’re designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it’s up to us to create a company where anyone can bring their authentic self to work everyday. We’re constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It’s on every one of us.

Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We’re building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!

For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

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

We are seeking a Senior Manager/Director of Technical Partner Solutions to define the strategic direction and lead the evolution of Braze's technical engagement with Technology (ISV) and Delivery Partners. This leader will scale the ISV function, focusing efforts on high-value technical partnerships and building a scalable support framework for technically complex customer use cases built by Delivery Partners.

This role requires a technical leader who can work cross-functionally to understand the technical needs of our partner ecosystem, map these needs against Braze's internal strategy, and translate them into measurable execution plans. You will work with Braze’s extensive ISV ecosystem alongside commercial counterparts managing this network. You will also work closely with the Partner Services Delivery team, who support our Delivery Partners to help with highly technical use cases, identify technical knowledge gaps, and recommend enablement plans for our Delivery Partners. You will manage a team of ISV Partner Managers and Partner Technical Advisors and advocate for the addition of further technical subject matter experts (such as AI Decisioning, Email Deliverability) within the Partner Services Technical Solutions function.

WHAT YOU'LL DO

• Collaborate with Partnerships to define ISV prioritization and execute ISV strategy in alignment with broader business goals at Braze, creating a clear and measurable partner onboarding and integration lifecycle management without sustained product dependency
• Strengthen cross-functional alignment with Product, Engineering, and Partnerships to ensure ISV integrations enhance customer value, accelerate product adoption, and support retention
• Oversee program scalability, introducing and managing tools and processes such as an Integration Platform as a Service (iPaaS), optimised partner listings, and documentation
• Demonstrate a data-oriented approach to define and track technical partner KPIs, such as integration quality (utilization, efficacy), number of new partners, speed to market,  time to integration, and technical certification rates
• Translate partner product updates, integration expansion requests, and complex customer use cases into actionable roadmap inputs for Product & Engineering
• Work closely with Product and Expert Services to identify upcoming product and new service launches and advise how Partner Services should support our partners with these new areas
• Lead and develop the Technical Partner Solutions overarching function, providing structure, mentorship, accountability, setting standards, and building processes and documentation. Establish and continuously evolve the job family, career development paths, and materials, and headcount model to ensure team engagement, scalability, and continuity
• Manage the ISV Partner Manager team to ensure integration SME coverage, meet troubleshooting SLAs, and provide ongoing technical support for Technology partners
• Manage the Partner Technical Advisor team to ensure comprehensive Braze product knowledge, technical subject matter expertise in new partner services such as Email Deliverability and AI Decisioning Studio, and provide ongoing technical oversight and support for Delivery partners
• Ability to craft a 12–24 month technical roadmap for partners that aligns with Braze’s long-term product vision. Define ongoing technical training requirements for Technology and Delivery partners and work with cross-functional stakeholders to execute on partner enablement plans
• Serve as the senior escalation point for partner-related IRTs and customer issues. Own cross-functional resolution with CX, Product, and Engineering
• Ability to resolve technical friction between Braze product teams and external partner engineering teams while maintaining trust
• Effective communication for rolling out new technical requirements or compliance standards across a global partner network

WHO YOU ARE

• 5–8+ years of experience in technical partner management, solutions engineering, partner engineering, or ISV program management at a SaaS or MarTech company; At least 3+ years in a leadership capacity
• Deep Technical Fluency: Expert knowledge of APIs (REST, webhooks), data integration patterns (ETL/reverse ETL, CDPs, event streaming), and hands-on comfort with data infrastructure tools (e.g., Snowflake, Segment, mParticle)
• Operational Excellence: Proven track record of building scalable processes—partner onboarding playbooks, tiered support models, and SLA frameworks—in a high-growth environment managing 100+ integrations. Comfortable operating in ambiguity and introducing structure without slowing innovation
• Strategic & Cross-functional Leadership: A systems thinker with the ability to strategically prioritize competing technical demands (inbound partner requests, integration expansion) with a clear rationale. Proven ability to influence and drive alignment across Product, Engineering, and GTM stakeholders
• Commercial Instinct: Experience connecting technical partnership work to revenue outcomes 
• Familiarity with iPaaS platforms, app marketplace/app store models, and self-service integration frameworks is a strong plus

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $110,000 and $182,000/year, with an expected On Target Earnings (OTE) between $129,000 and $214,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

Your Opportunity

We are seeking a hands-on Data Engineer to design, build, and maintain reliable ELT pipelines and production-grade analytics models in Snowflake.

This role requires strong SQL expertise, deep DBT experience, and demonstrated ability to independently build and troubleshoot end-to-end data pipelines — from ingestion (APIs, change data capture) through transformation and BI consumption.

The ideal candidate takes ownership of data systems, proactively identifies failure points, and delivers production-ready solutions without sustained oversight.

Your Responsibilities

ELT Pipeline Development

• Design and implement end-to-end ELT pipelines into Snowflake.
• Build and maintain ingestion pipelines from:
  • Third-party APIs
  • SaaS platforms
  • Internal application databases
• Implement and maintain Change Data Capture (CDC) processes.
• Ensure incremental loading, idempotency, and data consistency.
• Diagnose and resolve ingestion failures independently.

Data Modeling & Transformation (DBT)

• Design layered DBT models (staging, intermediate, marts).
• Write high-quality, performant SQL transformations.
• Implement incremental models and testing strategies.
• Optimize transformations for cost and performance in Snowflake.
• Ensure transformations are production-ready and validated prior to deployment.

Data Quality & Monitoring

• Implement data validation and anomaly detection checks.
• Design monitoring around pipeline failure modes.
• Perform structured root cause analysis for data discrepancies.
• Ensure production datasets are complete, timely, and trustworthy.

Production Ownership

• Drive work from design through deployment.
• Validate outputs prior to release.
• Monitor deployed pipelines and models.
• Proactively address data gaps or inconsistencies.
• Document assumptions, transformations, and dependencies clearly.

BI & Collaboration

• Partner with analytics and business stakeholders to translate requirements into scalable data solutions.
• Support Looker semantic modeling and dashboard reliability.
• Communicate technical tradeoffs clearly and concisely.

The responsibilities listed above may not be all inclusive.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Advanced SQL proficiency (window functions, performance tuning, complex joins).
• Hands-on experience building DBT models in a production environment.
• Experience working with Snowflake or similar cloud data warehouse.
• Experience building and maintaining ELT pipelines.
• Experience implementing Change Data Capture (CDC).
• Experience integrating and ingesting data from external APIs.
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience deploying production-ready data assets with minimal oversight.

Preferred Qualifications

• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, dbt Cloud).
• Experience designing data monitoring frameworks.
• Experience with Looker or similar BI tools.
• Familiarity with orchestration tools.

What We're Looking For

We value engineers who:

• Take full ownership of data systems.
• Think critically about edge cases and failure modes.
• Identify problems before stakeholders do.
• Drive initiatives to production completion.
• Communicate clearly and proactively.
• Understand that reliability is as important as functionality

Operational Details

• Job location is based at Scion headquarters in Chicago, IL
• Working hours are general daytime business hours

Your Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternity Leave
• FLSA Status
• Discretionary annual EOY bonus
• Paid Time Off

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities. 

Impact & Responsibilities:

• Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
• AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications: 

• 6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
• Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
• Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
• Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
• Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications: 

• Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
• Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
• Prior experience supporting a Solutions Engineering or Partner/Channel organization.
• Experience in SaaS GTM.

#LI-MC1

#LI-Hybrid

#P5992_3420266

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

About the Role

The Challenge

Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data?

The Team and Scope

As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage.

Our Stack and Philosophy

We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you.

Your First 90 Days

Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.

What You Will Do

• Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
• Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
• Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
• Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
• Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
• Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business

Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas.  Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices.  We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.  

Please let us know if you need accommodations at any point during the interview process.

What We Look For

• Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
• Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
• Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
• Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
• Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.

We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.

Interview Roadmap:

• Recruiter phone interview (30 mins)
• At-home coding assessment (60 mins)
• Hiring Manager video interview (60 mins)
• Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days

How we will take care of you

Everyone at Caribou is a valued team member. Our compensation and benefits package includes: 

• Competitive compensation: $175k - $215k
• Eligible for annual performance based bonus
• Equity options
• 401k savings program
• Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
• Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
• Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
• Up to $1,000 per year for eligible professional development expenses.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative Developer to architect, implement, and maintain end-to-end production infrastructure supporting mid-frequency equity statistical arbitrage strategies. The role partners closely with researchers, traders and operations to ensure research, back-testing and live-trading systems are performant, reliable and operationally robust.

Key Responsibilities:

• Architect, implement and maintain end-to-end production infrastructure for mid-frequency equity statistical arbitrage strategies.
• Develop and maintain research and back-testing platforms.
• Design, own and operate analytics tools and UI to evaluate and monitor data, signal and trade quality and integrity.
• Ensure production systems are performant, reliable, observable and operationally robust.
• Continuously improve system design, scalability and operational resilience.
• Closely monitor production alpha generation, optimization and trading; raise and resolve issues with the highest efficiency to prevent potential P&L loss.
• Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments and relevant academic research.

Qualifications:

• Minimum 3+ years of hands-on quantitative development experience in an equity statistical-arbitrage pod.
• Demonstrated experience in end-to-end development with direct responsibility for production trading infrastructure.
• Professional proficiency in Python with excellent coding practices
• Strong familiarity with Snowflake and demonstrated proficiency in SQL to efficiently clean, transform, and optimize large datasets.
• Experience with light-weight trader dashboard development
• Experience with production monitoring, corporate action adjustment, and a strong sense of operational priority.
• Familiarity with Optimizer a plus but not a must
• Experience with building intraday system a plus
• Clear understanding of the end-to-end equity systematic trading stack, including:
• Data ingestion, validation, and normalization
• Back-testing and simulation
• Portfolio construction and constraint enforcement
• live trading support
• Strong engineering discipline and the ability to work independently with minimal guidance.
• Ability to adapt in a fast-paced, collaborative and results-oriented environment; able to perform effectively under time-sensitive and high-pressure situations

The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1

The CX Operations Insights Lead will serve as a critical Individual Contributor bridging the gap between data-driven operational metrics and resource allocation across the entire Customer Experience (CX) department. Reporting to the Senior Director of CX Operations, this role acts as a strategic architect focusing on two primary pillars: Headcount Capacity Planning and broad Insights & Analytics.

While our Resource Management team handles tactical resourcing for projects within Certinia PSA, this role will step back to look at the broader picture. You will be responsible for forecasting and headcount modeling for all CX teams, including those not currently utilizing Certinia, such as Customer Support and Customer Success. Beyond capacity planning, you will drive high-visibility analytics initiatives with a heavy emphasis on workflow automation, ensuring our CX leadership have the insights needed for their key business reviews. As an L5 Lead, you will also act as a mentor to more junior ICs within the team and define cross-divisional objectives that add value at the broader business level.

What You’ll Do:

• Headcount Capacity Planning: Develop and own broader headcount models and forecasting across the entire CX department.
• Utilization & Growth Modeling: Forecast resource needs based on a deep understanding of utilization models, paired with future targets around company growth and revenue.
• Resource Management Alignment: Collaborate continuously with the Resource Management team to ensure high-level headcount forecasts align with the tactical resourcing executed within our Services PSA tooling.
• Liaise with FP&A: Partner with the Financial Planning & Analysis team to flex your headcount and utilization modeling with updates to revenue and growth targets, providing foundational data for executive-level business reviews and strategic resource allocation.
• High-Value Analytics & Reporting: Lead value-add analytics activities across the CX Operations team, owning the data delivery for various CX departmental OKR metrics, Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Board decks.
• Data Automation: Streamline data processes and reporting mechanisms to enhance efficiency, continuously seeking ways to automate the generation of leadership reporting.
• Stakeholder Leadership: Act as a strategic partner to CX leadership, clearly presenting work updates and insights in internal leadership meetings without requiring management support.
• Mentorship: Serve as a Lead IC, creating space at the table through mentoring, coaching, and reviewing the work of junior analysts within the team

Who You Are & What You Have:

• Experience: 4+ years of proven experience in business intelligence, data analysis, business strategy, or a quantitative field, with specific and demonstrated experience in headcount modeling and capacity planning across large departments or organizations.
• Technical Proficiency: Strong reporting and dashboarding skills are required. You must be highly proficient in Google Sheets and Salesforce Reporting, have knowledge of using Looker and Snowflake SQL. You will have a gift for storytelling with data.
• Bonus Tools: Experience with Tableau or other BI tooling is highly beneficial. Similarly with Gainsight.
• Analytical Mindset: You are analytically driven, comfortable handling complex tabular datasets, and possess a strong problem-solving mindset focused on automation and iterative improvement. Using AI to help extract insights from your data will be second nature.
• AI Focussed: You fully understand and are able to exploit automation and AI technologies to introduce efficiencies across mundane tasks, while being acutely aware of their limitations. You will have demonstrable skills in tooling such as Gemini, Claude, OpenAI, Atlassian Rovo, Tray.ai, etc.
• Strategic Scope: You are comfortable working on loosely defined tasks and can synthesize complex utilization and revenue data into clear narratives for executive leadership.
• Collaboration & Communication: Excellent written and verbal communication skills. You forge and cultivate trusted long-term relationships and can seamlessly partner with both technical teams and senior business leaders, acting as a translator between them.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $103,500 and $121,500/year, with an expected On Target Earnings (OTE) between $115,000 and $135,00/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

The CX Operations Insights Lead will serve as a critical Individual Contributor bridging the gap between data-driven operational metrics and resource allocation across the entire Customer Experience (CX) department. Reporting to the Senior Director of CX Operations, this role acts as a strategic architect focusing on two primary pillars: Headcount Capacity Planning and broad Insights & Analytics.

While our Resource Management team handles tactical resourcing for projects within Certinia PSA, this role will step back to look at the broader picture. You will be responsible for forecasting and headcount modeling for all CX teams, including those not currently utilizing Certinia, such as Customer Support and Customer Success. Beyond capacity planning, you will drive high-visibility analytics initiatives with a heavy emphasis on workflow automation, ensuring our CX leadership have the insights needed for their key business reviews. As an L5 Lead, you will also act as a mentor to more junior ICs within the team and define cross-divisional objectives that add value at the broader business level.

What You’ll Do:

• Headcount Capacity Planning: Develop and own broader headcount models and forecasting across the entire CX department.
• Utilization & Growth Modeling: Forecast resource needs based on a deep understanding of utilization models, paired with future targets around company growth and revenue.
• Resource Management Alignment: Collaborate continuously with the Resource Management team to ensure high-level headcount forecasts align with the tactical resourcing executed within our Services PSA tooling.
• Liaise with FP&A: Partner with the Financial Planning & Analysis team to flex your headcount and utilization modeling with updates to revenue and growth targets, providing foundational data for executive-level business reviews and strategic resource allocation.
• High-Value Analytics & Reporting: Lead value-add analytics activities across the CX Operations team, owning the data delivery for various CX departmental OKR metrics, Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Board decks.
• Data Automation: Streamline data processes and reporting mechanisms to enhance efficiency, continuously seeking ways to automate the generation of leadership reporting.
• Stakeholder Leadership: Act as a strategic partner to CX leadership, clearly presenting work updates and insights in internal leadership meetings without requiring management support.
• Mentorship: Serve as a Lead IC, creating space at the table through mentoring, coaching, and reviewing the work of junior analysts within the team

Who You Are & What You Have:

• Experience: 4+ years of proven experience in business intelligence, data analysis, business strategy, or a quantitative field, with specific and demonstrated experience in headcount modeling and capacity planning across large departments or organizations.
• Technical Proficiency: Strong reporting and dashboarding skills are required. You must be highly proficient in Google Sheets and Salesforce Reporting, have knowledge of using Looker and Snowflake SQL. You will have a gift for storytelling with data.
• Bonus Tools: Experience with Tableau or other BI tooling is highly beneficial. Similarly with Gainsight.
• Analytical Mindset: You are analytically driven, comfortable handling complex tabular datasets, and possess a strong problem-solving mindset focused on automation and iterative improvement. Using AI to help extract insights from your data will be second nature.
• AI Focussed: You fully understand and are able to exploit automation and AI technologies to introduce efficiencies across mundane tasks, while being acutely aware of their limitations. You will have demonstrable skills in tooling such as Gemini, Claude, OpenAI, Atlassian Rovo, Tray.ai, etc.
• Strategic Scope: You are comfortable working on loosely defined tasks and can synthesize complex utilization and revenue data into clear narratives for executive leadership.
• Collaboration & Communication: Excellent written and verbal communication skills. You forge and cultivate trusted long-term relationships and can seamlessly partner with both technical teams and senior business leaders, acting as a translator between them.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $103,500 and $121,500/year, with an expected On Target Earnings (OTE) between $115,000 and $135,00/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

WHAT YOU’LL DO

As a Technical Support Specialist, you will be a vital member of our Global Customer Support organization—serving as a trusted product expert, primary point of contact for inbound questions and owner of complex technical cases. You’ll diagnose and fix issues, answer product questions, and guide best practices, ensuring fast, accurate help and a great customer experience.

Your responsibilities will include:

• Owning customer inquiries end-to-end (how-to questions, technical break-fix issues, integration/configuration help, and best practice guidance), providing timely, insightful, and technically sound resolutions and suggestions.
• Becoming a trusted product expert—mastering the dashboard, integrations, troubleshooting steps, and best practices
• Driving increased product adoption by enabling customers to effectively utilize the platform and achieve their desired outcomes.
• Collaborating effectively with your own team members, Customer Success, Account Managers, Product and Engineering, and other cross-functional teams to deliver seamless customer experiences.
• Proactively identifying opportunities to enhance customer satisfaction and drive product adoption.
• Contributing to process improvements and internal enablement while actively documenting and sharing knowledge to elevate teammates and customers.

Please note this job description does not cover every duty you may need to undertake; you may be asked by your manager to handle other reasonable responsibilities commensurate with the role.

WHAT YOU HAVE

•  2–3 years of experience supporting technical products, ideally in SaaS or mobile application environments.
• A degree from an accredited college or university, a technical boot camp certification, or equivalent practical experience.
• Proficiency with case management tools (e.g., Salesforce, Zendesk) for efficient inquiry management and resolution.
• Hands-on experience with HTML, CSS, APIs, and/or SQL
• Experience with tools such as Postman, Snowflake, and/or Kibana is a plus.
• Domain knowledge of two or more: SaaS, Mobile Technology, APIs, Marketing Automation, Direct Marketing, Marketing Analytics, and/or basic programming.
• Strong written and verbal communication skills in English

WHO YOU ARE

• An excellent communicator with a customer-centric attitude with the ability to translate complex concepts into clear, understandable language for diverse audiences.
• Analytical, curious, and resourceful with strong troubleshooting and problem-solving capabilities
• Passionate about helping customers and resolving issues efficiently and effectively.
• Skilled at managing and prioritizing a high volume of inquiries and escalations; resilient and calm under pressure in fast-paced, time-sensitive situations.
• Able to synthesize complex technical concepts and communicate them clearly to diverse audiences
• Adaptable to fast-paced, high-volume environments with shifting priorities while being able to multitask and maintain performance under pressure.
• A proactive problem solver with a strong sense of intellectual curiosity, who thrives in collaborative team settings to tackle challenges.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $75,000 and $86,000/year, with an expected On Target Earnings (OTE) between $80,000 and $97,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

As a Senior Forward Deployment Engineer, you sit at the intersection of software engineering and customer impact. You build and deploy AI-powered integration and agentic workflow solutions directly with enterprise customers — from the first technical discovery conversation through post-launch enhancements. You are the engineer in the room who hears a customer problem and builds the solution. Speed matters here — the ability to write optimized, production-grade code fast and deploy it to customers without long feedback cycles is what makes the FDE function valuable. Strong data structures and algorithms fundamentals and an innovative, non-obvious approach to problem solving are core to what we look for. AI fluency — building agentic workflows and using LLMs as a daily engineering tool — is a baseline expectation for everyone on this team, not a specialization.

What you'll be doing:

• Build and deploy integration solutions — EDI (214, 315), callbacks, custom payload mapping, and API integrations — with production-grade quality and full test coverage
• Deploy agentic AI workflows that orchestrate supply chain operations live with customers present — configuring and deploying in the call, not gathering requirements to build later
• Write and extend LangGraph-based workflow extensions and wrapped action customizations in Agent Studio
• Use Claude, OpenAI, and other LLMs across the entire workflow — requirements documentation, integration design, code generation, testing and deployment; LLMs are not a convenience tool, they are how this team works
• Participate in customer discovery and technical clarification calls — answering complex technical and product questions with concrete, innovative solutions in real time
• Write thorough root cause analyses for integration failures and own the fix through to resolution
• Perform code reviews on integration and AI workflow work and maintain the team's quality standards before any customer deployment
• Contribute to the team's reusable integration package and AI workflow template library as you build
• Mentor incoming FDEs — pair on hard problems, accelerate their ramp-up, and share institutional knowledge
• Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes

About the team:

At FourKites, our teams solve complex, high-impact problems that move the world’s supply chains—from delivering critical medical supplies to keeping grocery shelves stocked. We’re a group of curious, customer-obsessed problem solvers who value empathy, inclusivity, and diverse perspectives. Working closely with Fortune 100 customers, our teams sit at the intersection of cutting-edge AI and real-world enterprise systems to build solutions that are practical, scalable, and transformative.

Who you are:

• 5+ years of software engineering experience — what matters more than tenure is the depth and quality of what you have built
• Strong proficiency in Java (required) — writes clean, optimized, production-grade code with proper error handling, test coverage, and clear design thinking from day one
• Strong foundations in data structures and algorithms — able to reason about time and space complexity, choose the right data structures for the problem, and write code that performs at scale without being told how
• Strong software design instincts — designs integration solutions that are modular, maintainable, and built to evolve; doesn't just write code that works today, writes code that holds up over time
• Writes code at speed without sacrificing quality — can take a customer requirement from problem statement to working, deployed solution faster than traditional development cycles allow; this is a core expectation, not a nice-to-have
• Innovative problem solver — approaches integration and AI workflow challenges with genuine curiosity, finds non-obvious solutions, and doesn't default to the first approach that comes to mind
• Proficient in REST APIs, HTTP/HTTPS, SFTP, and core data formats — XML, EDI, JSON, flat files — can read, write, and transform all of them
• Working knowledge of enterprise integration patterns and how to apply them in distributed, multi-tenant systems
• Solid working understanding of LLMs, prompt engineering, and agentic workflow design — hands-on, not theoretical
• Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, code generation, debugging, testing and deployment; not just as a coding assistant but as a core engineering tool
• Familiar with agentic frameworks such as LangGraph or LangChain and has built or configured at least one AI workflow in production or a meaningful side project
• Understands authentication patterns: OAuth 2.0, API keys, basic auth, token lifecycle management
• Comfortable on customer calls — communicates technical concepts clearly to both technical and non-technical stakeholders
• Able to deploy agentic workflows live with customers present, handling configuration and troubleshooting in the moment

Preferred Qualifications

• Experience in supply chain, logistics, transportation, or B2B SaaS platforms is a strong plus
• Familiarity with enterprise integration patterns and the ability to select the right approach for a given business and technical scenario
• Familiarity with EDI standards, carrier integrations, TMS/WMS systems, and supply chain data flows
• SQL proficiency — Snowflake experience is a plus
• Experience with low-code/no-code workflow automation platforms such as Pipedream, n8n, Temporal, or equivalent
• Proficient with Lucidchart, Miro, draw.io, or similar tools to document and communicate integration designs visually — the ability to make a complex data flow readable to a customer or a non-technical stakeholder matters as much as the build itself
• Experience working with enterprise customers in a post-sales, implementation, or technical account role
• Familiarity with webhook and callback delivery architecture

Compensation

The expected annual base salary range for this role is $110,000 - $150,000. Actual compensation will be determined based on several factors, including but not limited to experience, qualifications, skills, and business needs. In addition to base salary, this position is eligible for bonus and incentive compensation as well as participation in FourKites' employee stock option program.

Benefits

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office.

Benefits include:

• Medical, Dental & Vision benefits starting on first day of employment

• 401k Retirement savings with employer match

• Bonus and incentive compensation as well as employee stock option program

• Employer paid life insurance and short term disability insurance

• Generous PTO, global recharge days, and volunteer days

• Paid parental leave for all parents

• Family planning and inclusive wellbeing resources

• Technology reimbursement

• Commuter benefits for in-office employees (Chicago)

• Annual Wellness Stipend

• Ongoing learning & development opportunities

About FourKites

FourKites, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower® breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration. For more information, visit www.fourkites.com.

If you are a California resident, here is our California Applicant Privacy Notice. If you are a European Union resident, here is our EU Applicant Privacy Notice.

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're excited about this role but don't meet every requirement, we encourage you to apply.

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Overview

The Associate Director, CRM Development plays a critical role in architecting and scaling the technology foundation that powers TripleLift's go-to-market engine. In this position, you will serve as the primary owner and developer of our Salesforce org - driving everything from custom object builds and workflow automation to data integrity, integrations, and platform governance. Beyond SFDC, you will own and manage our full GTM tech stack — including Outreach, Gong, MediaRadar, and other tools — making deliberate architectural decisions about how these systems connect and interact, while also owning vendor relationships, ensuring data integrity and revenue reporting standards, and enabling our Sales, Revenue Operations, and Account Management teams to operate at peak efficiency.

You will partner closely with Revenue Operations, Sales leadership, and cross-functional stakeholders to translate business requirements into scalable technical solutions - ensuring our systems evolve in lockstep with how we go to market. This is an exciting opportunity for a technically deep, business-minded developer who wants to own a high-impact stack end-to-end, build meaningful infrastructure from the ground up, and play a central role in accelerating revenue growth at a leading programmatic advertising company.

Responsibilities

• Own end-to-end Salesforce development, including custom objects, Apex, Lightning Web Components (LWC), flows, validation rules, and other platform configuration across Sales & Service Cloud and any integrated products
• Architect, build, and maintain integrations between Salesforce and the broader GTM tech stack — including Outreach, Gong, MediaRadar, and other revenue-facing tools — ensuring clean, reliable data flow across systems
• Partner with Revenue Operations and Sales leadership to translate business requirements into scalable technical solutions, managing the full development lifecycle from scoping through deployment
• Govern data quality and integrity across the GTM stack, establishing standards for hygiene, deduplication, and taxonomy that support accurate reporting and forecasting
• Evaluate, implement, and optimize new GTM technologies, serving as the internal subject matter expert on tool selection, vendor management, and platform roadmap
• Proactively monitor platform health across the GTM tech stack, triaging and resolving issues as they arise and managing bug fixes through their full lifecycle from identification through resolution.
• Partner with BI/Data teams to surface Salesforce data in downstream reporting tools (e.g., Snowflake, Omni), and support initiatives to connect BI tooling to CRM infrastructure.

Education & Requirements

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field required
• 5+ years of hands-on Salesforce development experience, including custom objects, Apex, Lightning Web Components (LWC), flows, and REST/SOAP API integrations
• Salesforce Administration Required

WHAT YOU'LL DO

As a Senior Director, Partnerships - Snowflake, you are responsible for defining and driving Braze's global strategy for one of its most critical technology partnerships. You will identify structural growth opportunities within the Snowflake ecosystem, establish long-term partnership direction, and align executive stakeholders across both organizations around shared commercial objectives.

You will operate as a core strategic leader within the Partnerships organization — shaping how Braze engages Snowflake, influencing product and integration priorities, and ensuring the partnership delivers sustained ecosystem impact. This is a highly cross-functional role, requiring close collaboration with Sales, Product, Marketing, and Engineering teams at Braze and within Snowflake to translate strategy into measurable outcomes.

This is a high-impact individual contributor role suited for someone who understands the Snowflake Data Cloud deeply, is fluent in the customer engagement platform landscape, and knows how to build and execute a partnership strategy that drives real business results.

Key Responsibilities Include:

• Define partnership strategy: Identify market pain points, ecosystem shifts, and structural growth opportunities within the Snowflake Data Cloud. Develop a clear global strategy for the Braze–Snowflake partnership that drives pipeline, product alignment, and long-term commercial expansion
• Drive executive alignment: Lead senior executive meetings with Snowflake's C-suite and Braze leadership to establish shared objectives, long-term commitments, and governance structures that ensure sustained execution
• Own global partnership direction: Independently set the strategic direction for the Snowflake partnership and leverage cross-functional teams at Braze to execute against it with consistency and accountability
• Establish governance and operating models: Design and implement joint steering committees, working groups, and cross-functional alignment forums that keep both organizations executing against shared priorities
• Shape product and integration priorities: Collaborate with Braze and Snowflake product and engineering leadership to influence roadmap direction, integration development, and joint solution design aligned to customer and ecosystem needs
• Set commercial ambition and targets: Define measurable goals for partner-sourced pipeline, revenue influence, and ecosystem expansion — and hold both sides accountable to delivering against them
• Drive commercial performance: Work with Braze Sales leadership and regional PAMs to embed the Snowflake partnership into active deal cycles, articulate joint value to customers and prospects, and translate partnership momentum into pipeline and revenue
• Represent Braze in the ecosystem: Act as a strategic ambassador for the Braze–Snowflake partnership externally and internally, positioning Braze as Snowflake's preferred customer engagement platform partner

WHO YOU ARE

• 8+ years of experience within the SaaS / technology ecosystem 
• 2+ years minimum of Partnerships Experience 
• Deep familiarity with the Snowflake Data Cloud — its architecture, partner ecosystem, and how enterprise customers deploy and expand it
• Strong understanding of the customer engagement platform landscape and how data infrastructure intersects with marketing technology
• Proven experience defining joint partnership strategies and building long-term execution plans across two organizations at a global scale
• Track record of securing executive alignment across partner and internal stakeholders, including C-suite engagement and governance model design
• Experience working with product and engineering teams to align on integration priorities and advance a technically grounded partnership roadmap
• Demonstrated ability to partner with sales teams — translating partnership value into deal-level impact and measurable revenue outcomes
• Able to operate independently in a strategic, first-in-kind capacity and embed partnership priorities into broader company-wide GTM motions
• Strong executive presence and communication skills, with a track record of influencing without authority across a matrixed, global organization

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $140,000 and $221,250/year with an expected On Target Earnings (OTE) between $187,000 and $295,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

Lead end-to-end delivery of modern data platforms for our clients—owning scope, schedule, budget, and outcomes. You’ll run agile delivery teams, guide medallion/lakehouse architectures, and partner with clients to translate business goals into scalable solutions on Snowflake, Azure & Databricks.

What You'll Do

• Own program delivery: Drive planning, execution, risk/issue management, RAID logs, dependencies, and executive status reporting across multi-workstream data initiatives.
• Lead agile teams: Stand up and mature Scrum/Kanban ceremonies, backlog hygiene, velocity forecasting, and release management across data engineering, analytics, and platform ops.
• Architectural stewardship: Ensure adherence to medallion (bronze/silver/gold) patterns, data contracts, CI/CD for data, and governance/quality controls (DQ rules, lineage, observability).
• Cloud & platform delivery: Orchestrate environments, security, and cost controls for Snowflake and Azure (ADF/Fabric, Databricks, Synapse, Key Vault, Purview).
• Client leadership: Serve as the day-to-day executive contact; run steering committees, manage change requests, and drive stakeholder alignment and adoption.
• Commercials & quality: Own SOW scope, staffing, and margin; forecast and track budgets; enforce delivery standards and acceptance criteria tied to business KPIs.
• Enablement: Coach PMs and tech leads; codify playbooks/templates for repeatable delivery; contribute to proposals and pre-sales as needed.
• Travel to client sites as needed

What You’ll Bring

• 5+ years of technology delivery leading data platform or analytics programs in consulting/professional services.
• Proven success managing $1M–$5M+ multi-workstream programs with distributed teams.
• Hands-on familiarity with Snowflake (warehouses, RBAC, performance/cost tuning) and Azure data services (ADF/Fabric, Databricks, Synapse, ADLS, networking & security).
• Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for data (Git-based workflows, environments).
• Practical experience implementing medallion architectures and lakehouse patterns, data modeling, and data quality/observability.
• Stakeholder management at VP/C-suite level; crisp written/oral communication and executive reporting.
• Nice to have: regulated industries, FinOps for data platforms, data privacy/compliance (GDPR/CCPA), and analytics enablement (Power BI/Fabric).

Preferred requirements

• BS/MS in CS, IS, Engineering, or equivalent experience.
• PMP, PMI-ACP, or SAFe; Snowflake SnowPro; Microsoft Azure (DP-203, AZ-305) a plus.

What Success Looks Like

• Programs delivered on-time/on-budget with measurable business outcomes (e.g., SLA improvements, cost per query reductions, faster time-to-insight).
• Stable, secure, and cost-efficient Snowflake/Azure platforms with clear operating models and playbooks.
• High client satisfaction (CSAT/NPS) and referenceable accounts.

The annual salary for this role ranges from: $112,500 to $200,000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more.

You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle – from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact.

Responsibilities:

• Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
• Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution
• Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
• Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
• Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support
• Build, optimize, and support data marts and data warehouse solutions using Snowflake
• Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools
• Proactively identify and implement AI use cases across various business units, leveraging Enova’s AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption
• Advise on best practices, innovative designs, and emerging BI technologies

Requirements:

Experience designing, developing, and working with data marts is a must.

• Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
• 5-7+ years of experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
• Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
• 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
• 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent
• Proficiency in Python for data transformation, pipeline automation, and analytics
• Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
• Strong business acumen – ability to understand domain context and translate business needs into technical data solutions
• Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Senior BI Engineer I: $72,000-105,000
Senior BI Engineer II: $80,000-115,000

Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Your Impact

You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.

This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Director, Revenue Accounting

What You’ll Do

• Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
• Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
• Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
• Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
• Oversee monthly and quarterly close activities, analytics, and revenue reporting.
• Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
• Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
• Coach and develop team members while fostering a high-performance culture.

What You Bring

• Bachelor’s degree in Accounting or Finance required; CPA preferred.
• 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
• Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
• Experience operating in a SOX-compliant environment and supporting audits.
• Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
• ERP experience required (D365 or comparable system); advanced Excel skills.
• Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
• Finance or FP&A experience a plus.
• Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
• Proactive, solutions-oriented mindset with a focus on process improvement and scalability.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite

Location: Remote (United States)

The Senior Client Partner is the face of OneSix to our most strategic accounts and the engine behind their growth. It’s an equal mix of being the client’s trusted advisor, OneSix’s business operator, and the internal champion who pulls together the best of our firm behind a single relationship.

You’ll own a portfolio of high-value accounts, protecting and expanding our footprint, opening new logos, and quarterbacking complex, multi-million-dollar data, AI, and governance engagements from first meeting to long-term partnership. You’ll work shoulder-to-shoulder with delivery leaders, our alliance partners (particularly Snowflake), and the executive team to ensure every engagement drives measurable outcomes for the client and OneSix.

The right person has lived this work before. You know how to earn a seat at the CIO, CDO, CMO, and line-of-business table. You can translate a client’s data strategy into a commercial plan and then land it. You’ve grown accounts from six figures into multi-million-dollar partnerships, and you’ve done it by being useful, honest, and genuinely excellent at what you do.

What You'll Do

• Own your book. Take full lifecycle ownership of a portfolio of strategic accounts — protecting revenue, driving organic growth, and opening new logos.
• Be the executive partner. Serve as the primary point of contact for our most valued clients, building deep, trusted relationships with CIOs, CDOs, CMOs, Chief Data & AI Officers, and line-of-business leaders.
• Build account plans that actually get executed. Design and run plans that expand OneSix's footprint across our AI, Data, and Governance offerings — and put numbers against them.
• Quarterback the big pursuits. Lead complex, multi-million-dollar opportunities from first conversation to signed SOW, pulling in solution architects, delivery leads, and partner resources as the moment requires.
• Co-sell with our partners. Partner closely with Snowflake, Informatica, AWS, Atlan, Sigma, and others to co-sell, co-develop, and co-deliver strategic opportunities.
• Drive the rhythm of the relationship. Lead executive-level QBRs, drive cross-sell motions, and keep a relentless focus on client outcomes and satisfaction.
• Protect engagement health. Partner with delivery leaders on scope, margin, utilization, and quality — and spot expansion opportunities before the client has to ask.
• Own the commercials. Shepherd SOWs, MSAs, pricing, and scope negotiations in partnership with delivery, legal, and finance.
• Know the client's business cold. Build deep fluency in each client's data and AI maturity, commercial priorities, and the executive-level outcomes they're measured on.
• Represent OneSix in the market. Show up at client events, conferences, and partner forums as a firm ambassador.

What You'll Bring

• 10+ years in consultative sales, client partnership, or account leadership. Agency or SI experience is welcome.
• A documented track record of owning and exceeding multi-million-dollar revenue targets in a complex, solution-sales environment.
• Demonstrated ability to architect and close large, multi-workstream engagements for midsize to enterprise clients.
• Deep experience building C-suite relationships — particularly with CIOs, CDOs, CMOs, and Chief Data & AI Officers — and a genuine interest in how data and AI create enterprise value.
• Commercial range: you can lead discovery, shape a pursuit, write a compelling proposal, negotiate a complex SOW, and hold a hard conversation when delivery pressure runs high.
• Exceptional written, verbal, and visual communication skills, with real comfort presenting to executive audiences and authoring executive-ready materials.
• A collaborative operator's mindset — you partner naturally with delivery, marketing, alliances, and leadership to move the firm forward, not just your own book.
• The professionalism, honesty, and integrity we expect of everyone who represents OneSix to a client.
• Bachelor's degree (BA/BS) required.
• Willingness to travel as needed to clients, partners, and OneSix events.

Benefits

• Competitive base salary with uncapped variable.
• Company-paid medical, vision, dental, and wellness benefits for employees.
• Company-provided home office equipment.
• Flexible vacation and sick days.
• A team-oriented, supportive working environment where senior people actually have each other's backs.
• Company-sponsored events and swag (yes, the good kind).

Compensation

This position offers a base salary in the range of $175,000–$250,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Data Product Manager to join our growing Data and Analytics team.

Location - this role is hybrid and can be based out of our downtown Chicago or Elmhurst office

About the role:

The Data Product Manager is responsible for owning the prioritization and iterative delivery of data products within DoubleGood's DNA (Data & Analytics) group. This role bridges the gap between business strategy and technical execution — translating high-level priorities into well-scoped, actionable requirements while driving an iterative approach to data product development that maximizes impact and keeps teams focused on what matters most.

Responsibilities

• Own the DNA product backlog — maintain and continuously prioritize a backlog of data and analytical initiatives based on business impact, stakeholder needs, and technical feasibility; serve as the single point of accountability for what gets worked on and when.
• Apply iterative product thinking — champion a crawl-walk-run approach to data product delivery, breaking work into phased increments that deliver value early and reduce risk.
• Translate strategy into requirements — partner with business-side stakeholders (Marketing, Finance, Operations, etc.) to gather and document detailed business logic, data definitions, and acceptance criteria for analytics and BI engineering teams.
• Drive stakeholder alignment — act as the primary liaison between business partners and technical teams, ensuring priorities are clearly communicated, well-understood, and consistently reflected in execution.
• Define and track success metrics — establish measurable outcomes for each data product (adoption, usage, business impact) and hold the team accountable to them.
• Manage UAT and validation — own business-facing acceptance testing, ensuring delivered data products meet stakeholder expectations and can be trusted by the business.
• Identify and communicate tradeoffs — surface scope, dependency, and prioritization tradeoffs proactively, enabling leadership to make faster, better-informed decisions.

Experience & Skills we value:

Required:

• 8+ years in a product management, business analysis, or data product role — ideally in a data-intensive environment
• Demonstrated experience owning and managing a product backlog with competing priorities across multiple stakeholders
• Strong understanding of data modeling concepts, BI tools, and modern data stacks (e.g., Snowflake, dbt, Looker or similar)
• Proven ability to translate complex business problems into clear, actionable technical requirements
• Experience applying agile/iterative delivery methodologies (sprint planning, acceptance criteria, incremental releases)
• Excellent communication and stakeholder management skills — comfortable working across technical and non-technical audiences

Nice to have and/or you’ll learn: 

• Experience in a high-growth or startup environment where priorities shift frequently and speed of delivery matters
• Familiarity with data governance principles and documentation best practices
• Background in finance, operations, or a domain-heavy vertical where deep business logic expertise is required
• Experience working with analytics engineering teams (dbt, semantic layer, OBTs)
• Exposure to ERP systems (e.g., D365) or manufacturing/operations data

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $130,000 - $165,000 annually
• Target Annual Bonus: 15% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

How you’ll make an impact 

As a Senior Consultant on our Decision Support Advisory Services team, you will serve as a trusted advisor to healthcare organizations, guiding the strategic design, configuration approach, and adoption of the Decision Support suite of our software, StrataJazz®. StrataJazz® Decision Support is rated #1 in KLAS and is known as the “gold standard” for understanding cost and margins across the healthcare industry. 

In this role, you will partner directly with key team members and executive stakeholders at some of the largest health systems in the world, helping them define business use cases, apply best practices, and maximize the value of StrataJazz®. 

The responsibilities of this role include: 

• Consult on the design, approach, and adoption of key components of the StrataJazz® Decision Support platform across multiple customers nationwide 

• Partner with customers to define business use cases and configuration recommendations, advising on cost accounting and analytics best practices aligned to organizational strategy 

• Analyze and interpret complex source data to inform critical design decisions and implementation direction 

• Collaborate with Strata’s Technical and Engineering teams to ensure customer needs and advisory recommendations are well understood and appropriately translated into delivery plans 

• Lead onsite and virtual customer stakeholder sessions focused on discovery, design guidance, decision-making, and enablement; including working sessions and targeted training 

• Communicate proactively with Strata team members, managers, project managers, and executives regarding risks, dependencies, and decision points throughout the project lifecycle; develop and recommend action plans to mitigate risk 

• Contribute to operational improvement and strategic growth initiatives to help Strata scale its Advisory Services offerings and continually improve customer outcomes 

• Work in an Agile environment, partnering closely with delivery teams while maintaining a focus on advisory guidance, value realization, and customer adoption 

What we’re looking for: 

• 5+ years of relevant professional experience working in the cost accounting decision support space 

• Experience advising on cost accounting, decision support, healthcare analytics, and/or healthcare operations 

• Advanced analytics capabilities, including hands-on experience querying relational databases using SQL (Snowflake preferred), with the ability to independently extract, analyze, and interpret data 

• Strong ability to communicate clearly and effectively with all levels of an organization regarding analytical insights, tradeoffs, change management, and adoption considerations 

• Proven experience leading customers through complex initiatives with an emphasis on strategic guidance, value delivery, timelines, and budget preferred 

• Willingness to travel within the US as needed to customer locations up to ~20% based on customer needs 

You’d really wow us if you have: 

• Healthcare consulting experience directly related to decision support or experience within a health system decision support team 

• Experience providing advisory guidance for the design or implementation of decision support or analytics software (not solely hands-on configuration) 
• Proficiency with analytics using SQL and Snowflake with experience translating insights through visualization dashboards such as Tableau and PowerBI 

Estimated Salary Range: $90,000 - $110,000

Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

About Attain

Built for consumers and companies alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and shopping rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

About the role

As the Director of Data Strategy, you will be at the forefront of our efforts of building out our data feeds business that supports a variety of use cases in Marketing, Consumer Insights, and Financial Services. This is a client-facing role for someone with technical aptitude and a natural curiosity towards data. You will be responsible for being an expert on Attains’ data footprint and working closely with Product, Sales, Data Science, Engineering, Strategy, and Client Services to deliver world-class data feeds products that transform our clients' businesses. This role requires both a strategic mindset and hands-on technical expertise to make sure our partners and customers have a smooth and positive experience. 

You’ll be a great fit for the role if

• You have extensive experience in digital advertising or data businesses and have a deep understanding of the data feeds ecosystem. 
• You have experience working with transaction data, either in a company that owns, buys, or sells data for enterprise purposes. 
• You’re passionate about solving complex technical challenges and can communicate them effectively to both technical and non-technical stakeholders.
• You’re able to translate client business needs into technical solutions and can articulate the value of your solutions to senior executives.
• You can anticipate potential technical roadblocks and proactively drive solutions to ensure successful integrations.
• You have a proven track record of working cross-functionally with product, sales, engineering, data science, and account management teams.
• You’re highly organized and thrive in fast-paced environments, balancing multiple priorities with ease.

What a typical week might look like

• Conduct an exploratory data evaluation on a new transaction dataset to identify strengths and opportunities, and share feedback with internal teams. 
• Partner with a Sales executive to develop a multi-product commercial model for a new client that enables them to drive value for their business.
• Build out a strategic plan for growing Attain’s data feeds business in the next year through TAM expansion.
• Articulate the technology nuances of Attain’s data feed product to technical client leaders across Data Science and Engineering.
• Develop an analysis on existing internal datasets to identify fields that can be improved or added to existing products to strengthen client utility. 
• Collaborate with Product and Strategy to design custom data solutions that meet clients’ specific needs.

Preferred Qualifications

• 8+ years of experience in digital advertising or data businesses
• Strong knowledge of the advertising, consumer insights, or data feeds industries
• Hands-on experience with identity and data connectivity platforms, cleanrooms, and privacy-preserving data workflows (e.g., LiveRamp, Snowflake, InfoSum, or equivalent)
• Demonstrated success managing high-impact technical partnerships with major platforms (e.g., Meta, Google, The Trade Desk, Amazon, Paramount, Disney), including driving integrations from initial scoping through to live deployment.
• Proven experience managing technical teams and projects
• Strong SQL skills and familiarity with Python

We’re excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

About the Role

We are looking for a dynamic and accomplished Business Applications Manager to join our Global Information Systems (GIS) team. This is a high-visibility, strategic role that sits at the intersection of technology and business leadership. You will engage directly with VPs, Senior Directors, and other executive stakeholders to uncover automation and agentic AI opportunities, translate complex business requirements into scalable solutions, and deliver intelligent workflows that drive measurable impact across the organization.

The ideal candidate is equally comfortable presenting a roadmap to business executives and building an agentic AI pipeline in a development environment. You bring deep technical expertise across our core GIS platforms — Salesforce, Power BI, Snowflake, NetSuite, and Workato — and a proven track record of delivering enterprise automation at scale with an aptitude to understand business process flows.

Key Responsibilities

Executive Stakeholder Engagement

• Serve as a trusted advisor to VPs, Senior Directors, and business unit leaders to identify, prioritize, and scope automation and AI opportunities.
• Lead discovery sessions and requirements workshops with senior stakeholders, translating high-level business goals into clear, actionable technical specifications.
• Communicate complex technical solutions in business terms — presenting roadmaps, ROI projections, and project updates to executive audiences with clarity and confidence.
• Build and maintain strong cross-functional relationships to ensure alignment between GIS capabilities and organizational priorities.

Automation Architecture & Delivery

• Design, build, and deploy enterprise-grade automation solutions using Workato and complementary iPaaS or workflow tools.
• Architect end-to-end integrations across Salesforce, NetSuite, Snowflake, Power BI, and other enterprise platforms.
• Develop and implement agentic AI solutions — autonomous agents and intelligent workflows — that reduce manual effort, eliminate process bottlenecks, and improve decision-making.
• Establish best practices for automation governance, including documentation, testing, error handling, and monitoring.

GIS Platform Expertise

• Collaborate with the GIS team on platform administration, configuration, and optimization across Salesforce, Power BI, Snowflake, NetSuite, and Workato.
• Identify and implement improvements to existing integrations and data flows between GIS platforms.
• Ensure data integrity, security, and compliance standards are maintained across all automation touchpoints.
• Provide technical guidance and mentorship to GIS team members on automation and AI capabilities.

AI Strategy & Innovation

• Stay ahead of the rapidly evolving AI landscape and proactively bring forward opportunities to apply emerging tools and techniques.
• Build and iterate on AI-powered solutions leveraging frameworks such as LangChain, Microsoft Copilot Studio, Anthropic Claude, or similar platforms.
• Partner with leadership to develop and execute a multi-year automation and AI roadmap aligned to business strategy.
• Define KPIs and success metrics for automation initiatives and report progress to stakeholders.

Required Qualifications

• Education: Bachelor’s degree in information systems, Computer Science, Business Administration, Engineering, or a related field.
• Experience: Minimum 5–7 years of experience in automation, systems integration, or AI/data roles within an enterprise environment.
• Executive Presence: Demonstrated ability to engage, influence, and present to senior business leaders (VP-level and above); strong executive communication and facilitation skills.
• Workato: Hands-on experience building and managing enterprise automation and integration workflows in Workato or a comparable iPaaS platform (e.g., MuleSoft, Boomi, Zapier Enterprise).
• Salesforce: Strong working knowledge of Salesforce CRM, including integrations, data models, and workflow automation (Flow, Apex, or similar).
• Snowflake: Proficiency in SQL and experience managing data pipelines and models in Snowflake.
• Power BI: Ability to design and publish executive-level dashboards and reports; DAX experience preferred.
• NetSuite: Deep understanding of NetSuite data models (transactions, entities, and GL impact). Experience integrating NetSuite with external systems (billing, CRM, data platforms)
• Agentic AI: Practical experience designing and deploying autonomous AI agents and intelligent automation workflows to solve real business problems.
• Strong project management skills with the ability to lead multiple initiatives simultaneously.
• Excellent written and verbal communication skills with a consultative, business-first mindset.

Domain Expertise (Highly Desired)

• Experience supporting or integrating “systems of record” across Finance, RevOps, in a Software company 
• Strong understanding of quote-to-cash, order-to-cash, or finance workflows
• Experience building integrations that support revenue, billing, or financial reporting processes

Preferred Qualifications

• Master's degree in a relevant field.
• Workato automation certifications or equivalent iPaaS credentials.
• Experience with Python, JavaScript, or REST API development for custom integrations.
• Familiarity with Azure, AWS, or GCP data and AI services.
• Experience with AI frameworks such as LangChain, AutoGen, Microsoft Copilot Studio, Anthropic Claude, or similar agentic AI frameworks.
• Prior experience working within a Global IS/IT, or enterprise systems team in a complex, multi-platform environment.
• Background in a high-growth or global organization with cross-functional stakeholder management experience.
• • In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly

Diversity & Inclusion

We’re designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it’s up to us to create a company where anyone can bring their authentic self to work everyday. We’re constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It’s on every one of us.

Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We’re building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!

For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

Analytics Engineer   

We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.  

Ideal candidates will be able to:  

• Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as  

• Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials  

• Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives  

• Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance  

• Generate visualizations that communicate complex data analyses to non-technical audiences  

• Partner with client stakeholders to foster the adoption of best data management practices  

• Mentor and develop junior team members  

• Support sales cycles by leading scoping discussions and building proof of concept solutions  

• Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization  

Qualifications:  

• 5+ years of experience in data analytics, business intelligence, or related field  

• 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc  

• Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)  

• Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar  

• Familiarity with Python and other programming languages used in data analysis  

• Understanding of data architecture, data warehousing, and ETL/ELT processes  

• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences  

• Experience in consulting or client-facing roles  

• Track record of successful project delivery using Agile methodologies  

Personal Qualities:  

• Passionate about data and its potential to drive business value  

• Strong leadership and mentoring abilities  

• Proactive problem-solver with a results-oriented mindset  

• Adaptable and eager to learn new technologies and methodologies  

• Excellent interpersonal skills with a people-first mentality  

Join us in revolutionizing how businesses leverage Sigma and analytics to drive success!  

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings