Applied AI & Analytics Associate, Office of the CEO

Miami, FL | Office of the CEO — Data, Analytics & AI

You Don't Wait to Be Asked. Neither Do We.

At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency.

We're hiring an Applied AI & Analytics Associate to sit inside the Office of the CEO. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll work directly alongside the VP, Chief of Staff to the CEO and senior leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward.

If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.

What You'll Actually Do

You will be an analytics and AI professional embedded in the Office of the CEO, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions.

This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now.

On any given week, you might:

• Partner with the VP and Chief of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
• Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
• Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
• Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
• Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
• Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
• Introduce better analytical methods and tools to raise the quality and consistency of output across teams
• Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
• Connect the dots between data from multiple functions to surface insights no single team could see on their own
• Help support and review work from junior analysts or co-ops, contributing to their development

This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work.

What It Takes to Win Here

Must Have:

• 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
• Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
• Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
• Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
• Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
• Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
• Experience managing multiple workstreams and delivering against timelines with limited oversight
• Previous project or program management experience — managing scope, timelines, and cross-functional coordination
• Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
• Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change

Even Better If You Have:

• Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
• Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
• Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
• Prior exposure to working alongside executive or senior leadership teams
• Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Tools & Stack

• Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus
• BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency in at least one platform
• Data Platforms: Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks)
• AI & Automation: Production experience with LLMs, generative AI, or automation tools — not just familiarity, but deployed solutions
• Collaboration Tools: Slack, Jira, Asana, or similar for cross-functional coordination

Why This Role, Why Now

SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done.

This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function.

If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

CTO Advisor

About Anaplan 

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

• Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
• Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Our Connected Planning solutions drive some of the world's largest companies, provide real-time insights, and enable smarter, data-driven decisions that optimize performance and improve decision-making across the enterprise. To support our ambition for growth and expansion, Anaplan is looking for an experienced CTO Advisor. The CTO Advisor will act as trusted advisor and executive advisor to our strategic accounts.

As a CTO Advisor you build strategic, technical relationships with our strategic accounts focusing on the offices of the CIO and CTO. You help grow the Anaplan footprint by building their enterprise architectures around Anaplan. This is a unique opportunity for a thought leader with deep enterprise technology expertise, proven industry experience and relationships, and exceptional collaboration skills to shape the future of Anaplan.

Your Impact
As a trusted leader and subject matter expert, you will:

• Strategic Advisory: Generate new business by supporting our strategic accounts and large deals on technology and enterprise architectures
• Trusted Advisor: Build trusted relationships with key partners, customers and prospects through solution development and collaboration.
• Thought Leadership: Represent Anaplan at industry events, in thought leadership opportunities, and through social media. 

Key Skills

• Analyze a company’s key use cases around cloud driven data, data management and integration technology
• Advise CIOs on enterprise architectures and best practices around SaaS applications, data lakes, data management, PaaS, AI/ML/data science platforms
• Translate top CIO priorities into commercial opportunities
• Build trusted advisor relationships with IT Executives
• Executive level communications in-person, on stage and in writing
• Manage cross-functional teams and key stakeholders in a matrixed organization to achieve maximum results for the business and customers

Your Qualifications

• 15+ years of experience in enterprise data software technology
• 5+ years at senior level (VP/Sr. Director)
• Worked in the following roles:
• Senior IT leadership roles at a large enterprise in CPG, Retail, FSI, Manufacturing, Energy, Transportation
• Senior field advisory roles at large tech companies like Microsoft, AWS, SAP, Oracle, ServiceNow, Databricks, Snowflake
• Senior consultant or practice lead at a big consultancy firm
• Led high-impact digital transformation projects at enterprise scale
• Held accountability to achieve key business goals i.e. revenue growth, TCO & ROI 

Our Commitment to Diversity and Inclusion

Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondences, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcement is to obtain privileged information from individuals.  

Anaplan does not:*-+ 

1. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
2. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to humanresources@anaplan.com before taking any further action in relation to the correspondence.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.

This is a full-time, remote position based in US with strong preference for Central and East Coast timezones.

Technologies You’ll Use

AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python

What You’ll Do

• Work with Enterprise customers to understand their business, their use cases, and their data replication requirements

• Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan

• Develop and deliver technical presentations to Enterprise audiences

• Ensure the technical win by running a tight proof-of-value process

• Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs

• Develop and maintain relationships with key Enterprise customers and partners

• Stay up-to-date on the latest technologies and trends in our industry

Skills We’re Looking For

• 5+ years in data replication, sales engineering, or related technical field

• Proven ability to work cross-functionally to support large enterprise customers

• Strong technical background covering database replication, cloud infrastructure, and data replication technologies

• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools

• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders

• Strong problem-solving and analytical skills

Bonus Skills

• Experience with Oracle, SQL Server & SAP databases

• Hands on experience with other data replication or ETL tools

• Experience with self-hosted software applications and supporting infrastructure

• Hands on networking experience both in the cloud and on-premise

This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.

As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.

#LI-REMOTE #LI-MT2

About the Role

The Director of Pricing Strategy is a senior, cross-functional leadership role responsible for owning the full lifecycle of freight pricing, from bid strategy and RFP response through programmatic API-based quoting and real-time margin management. This role sits at the intersection of commercial, data, and technology and serves as the company's authoritative voice on rate strategy, market intelligence, and pricing model architecture.

The ideal candidate combines deep freight industry fluency with hands-on analytical capability and technical literacy to collaborate directly with data science and engineering teams. This is a player-coach role with a mandate to build scalable pricing infrastructure that supports both reactive bid work and proactive revenue optimization.

Core Responsibilities

Bid Management & Commercial Pricing

• Own end-to-end RFP and bid pricing strategy, setting floor/ceiling logic by lane, mode, and customer segment
• Partner with Sales to develop winning bid packages that balance competitiveness with margin integrity
• Build and maintain carrier cost models that feed bid pricing, incorporating fuel, accessorials, and capacity conditions
• Establish pricing governance, approvals, exception handling, and escalation paths for non-standard deals

Market Intelligence & Rate Analytics

• Monitor and synthesize external freight indices, including DAT spot rates, Cass Freight Index, EIA diesel prices, and BLS wage data
• Translate external market signals into actionable pricing adjustments; communicate trends to Sales and Operations leadership
• Maintain competitive rate benchmarks across key lanes and customer verticals
• Develop and maintain a freight cost and revenue forecasting model covering a 2–3-year history, 6–12-month trend direction, and 30–60-day live calibration layers

API & Programmatic Pricing

• Manage integrations with market cost APIs, spot market data feeds, and TMS pricing modules
• Define the business rules and model logic that drive automated quoting and real-time rate responses
• Own the requirements and business logic for any AI-assisted pricing tools or forecasting models built internally

P&L Visibility & Margin Management

• Track cost vs. revenue performance at the load, lane, and customer level
• Partner with Finance to develop pricing-related reporting within the data platform (SQL Server, Databricks)
• Establish margin policies and alert mechanisms for loads trending below threshold

Strategy & Leadership

• Serve as a strategic advisor on pricing positioning, market conditions, and competitive dynamics
• Represent pricing strategy in client-facing meetings, QBRs, and partnership discussions
• Define and report on a monthly pricing performance scorecard for leadership
• Evaluate and recommend third-party tools, data subscriptions, and technology investments that strengthen the pricing function

Qualifications

Required

• 7+ years of experience in freight pricing, rate analysis, or commercial strategy within a 3PL, brokerage, or asset-based carrier
• Deep knowledge of TL and LTL pricing mechanics
• Strong analytical skills; comfortable working in SQL, Excel, or BI tools to build and validate pricing models
• Track record of collaborating directly with sales, operations, and technology teams in a cross-functional capacity
• Excellent communication skills, able to translate complex pricing analysis into an executive-ready narrative

Preferred

• Experience with freight data platforms or indices (DAT, Cass, Greenscreens, FreightWaves SONAR)
• Familiarity with Databricks, Sigma, or similar modern data stack tools
• Exposure to machine learning or statistical forecasting models applied to freight pricing
• Experience in a TMS environment (TMW, McLeod, MercuryGate, or similar)

#LI-CH1

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

• Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
• Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Build tools and automation to streamline data ingestion, transformation, and analysis.
• Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
• Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
• Design, develop, test, and document data science microservices and analytical applications
• Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
• Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
• Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
• Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
• Develop and analyze key performance indicators (KPIs) to monitor project health and success.
• Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
• Maintain and update project management tools and systems
• Generate detailed project reports, dashboards, and presentations for stakeholders.
• Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
• Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
• Ensure that all project documentation is stored and organized according to PMO standards
• Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
• Proficiency in Python; experience with C++, Java, or R is beneficial
• Familiarity with AI/ML tools supporting logistics or operational use cases.
• Ability to quickly learn new tools and technologies.
• Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
• Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
• Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
• Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
• Collaborative team player with strong interpersonal skills.
• Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

• Bachelor’s degree in business administration, data analytics, or a related field.
• Master’s degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
  • Additional applicable experience may be substituted for formal education.
• Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

• 5+ years of experience using data science, machine learning, or advanced analytics
• 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
• Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
• Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
• Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
• Experience communicating analytical findings through visualizations and presentations.
• Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
• Experience working with structured, unstructured, or semi-structured data and conducting analysis
• Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

• Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
• Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Summary: 

The BI Developer role goes beyond building dashboards.  It is responsible for transforming how Vertical Bridge consumes, understands, and acts on data. They will build, design and deliver analytics solutions across the Power BI and Databricks AI/BI platforms. These solutions will drive strategic decisions, enable self-service intelligence, and shift the organization from reactive reporting to proactive insight. The ideal candidate serves as both a business translator and technical architect. This role requires strong foundations in data modeling, DAX, M Query, and semantic layer design, as well as hands-on experience with Databricks AI/BI Dashboards, Genie-powered conversational analytics, and self-service enablement. You will partner closely with data engineers to build a governed, enterprise-wide data model (one version of truth) that allows all users to read from the same data playbook.

Job Functions: 

• Design and present data narratives that drive decision-making as well as build dashboards and reports that tell a clear story with a defined call to action
• Engage directly with operations, finance, leasing, and executive stakeholders to identify the right metrics and proactively retires or replaces solutions that are no longer answering the right question
• Design and maintain a governed, enterprise-wide semantic layer — a single source of truth that serves both Power BI reports and Genie conversational queries consistently
• Partner with data engineers to align Delta table structures, aggregations, and business logic to support scalable self-service analytics
• Provide technical guidance and support to the data teams, making architectural decisions, resolving technical challenges, and ensuring adherence to best practices and standards across both Power BI and Databricks AI/BI
• Demonstrate the ability to analyze complex situations, identify issues, and propose effective solutions to meet and exceed business requirements
• Apply statistical thinking and exploratory analysis techniques using Python, and SQL in Databricks notebooks. Identifies trends, anomalies, and correlations that traditional dashboards would not surface
• Implements strong quality assurance processes to maintain high standards of software quality, reliability, and performance upon delivery by the team.

These job functions are representative of tasks accomplished by incumbents.  The list is not exhaustive; incumbents perform other job-related tasks.

Supervisory Responsibilities: 

None

Working Conditions and Physical Demands: 

Position will work directly from the corporate office with minimum travel. 

 Education and Experience:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in business analytics and BI development, with a demonstrated ability to translate business problems into analytical solutions.
• Demonstrated experience with Power BI (M Query, DAX, Data Modelling, and Row-Level Security (RLS)), Microsoft Copilot and/or Databricks AI/BI Dashboards, and Genie for conversational analytics (Certifications a plus)
• Proven experience designing and maintaining a governed semantic layer or enterprise metrics framework.
• Experience driving self-service analytics adoption, including training and change management with business stakeholders.
• Proficiency in SQL and working knowledge of Python for exploratory analysis and statistical insight.
• Experience with Power BI Service administration, including workspace governance, deployment pipelines, and capacity management.
• Strong analytical and problem-solving skills with demonstrable statistical thinking ability.
• Excellent communication and storytelling abilities — able to present data narratives clearly to all levels of the organization.
• Experience with Azure cloud services, particularly Azure Databricks and related components.
• Knowledge of data integration and ETL processes using Apache Spark.

P-1351

As a Geo Hunter Account Executive on Databricks' LATAM team, you are an accomplished sales professional experienced in selling to a multi-industry territory in Brazil. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while increasing consumption and creating new workloads in existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Regional Director of Enterprise Sales.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• Native Portuguese-speaker with strong English language skills.
• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 3+ years of relevant full-cycle Sales experience exceeding quotas
• Success closing new accounts and increasing consumption spend in existing customers.
• Understanding of Apache Spark™ and big data preferable
• Bachelor's Degree

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Role Overview

We are looking for a passionate and experienced sales leader who is excited to work at the forefront of AI innovation. You’ll engage with some of the top AI labs in the world, navigate complex enterprise sales cycles, and craft tailored AI solutions that push the boundaries of what’s possible. 

If you’re a strategic thinker, a skilled communicator, and thrive in a fast-moving, high-impact environment, this role is for you.

Your Impact

• Shape Multi-Million Dollar Pipelines: Identify, prioritize, and cultivate $20M+ enterprise opportunities across frontier AI labs and Fortune 500 accounts, structuring portfolios of 20+ concurrent projects.
• Orchestrate Stakeholder Alignment: Map and engage decision-makers across research, engineering, product, procurement, and executive leadership to secure long-term commitment to human-data solutions.
• Drive Complex, Multi-Project Sales Cycles: Lead end-to-end deal execution by aligning customer pain points with tailored human-data offerings, building proposals, navigating procurement, and closing multi-year frameworks.
• Anchor Strategic Partnerships: Ensure customer confidence by collaborating with delivery, research, and program management teams to execute high-impact pilots that expand into scaled, production-level contracts.
• Grow Enterprise Accounts: Expand wallet share by uncovering new project streams, embedding Labelbox as a strategic partner across evaluation, red teaming, SFT, RLHF, and benchmark initiatives.
• Elevate Go-to-Market Strategy: Build executive-level narratives, thought leadership content, and case studies that position Labelbox as the partner of choice for frontier AI companies

What You Bring

• Proven Track Record in Large Deals: 7+ years managing enterprise sales cycles with experience closing $5M–$20M+ annual agreements spanning multiple concurrent projects.
• Expert in Multi-Threaded Sales: Demonstrated success engaging across research leaders, engineering stakeholders, procurement teams, and C-suite executives.
• Consultative & Strategic Approach: Adept at translating technical needs (AI safety, evals, data quality, benchmarks) into commercial frameworks that resonate with business and technical leaders alike.
• Operational Rigor: Ability to manage complex deal structures, ensure visibility across 20+ active workstreams, and coordinate with internal delivery and product teams to ensure flawless execution.
• Domain Expertise: Experience selling AI, ML, or human-data services to advanced research orgs and technical decision-makers.
• Full-Cycle Deal Leadership: Skilled in qualification, solution design, proposal building, negotiation, procurement navigation, and customer success alignment.
• Executive Communication: Excellent written and verbal communicator with the ability to craft compelling narratives for both technical and business stakeholders.

Sales at Labelbox

At Labelbox Sales, you'll be at the forefront of the AI revolution, partnering with leading AI labs and Fortune 500 enterprises to shape the future of artificial intelligence. Our sales team combines deep technical understanding with strategic consulting skills to help organizations unlock the full potential of AI. We pride ourselves on being trusted advisors who truly understand the complexities of AI infrastructure and can guide customers through their AI journey. Our sales culture is entrepreneurial and collaborative, where creativity and strategic thinking are highly valued. You'll have the opportunity to work on groundbreaking deals that define new categories in the AI industry, backed by a product that delivers real, measurable value to customers. 

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