CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

How you will help

As a Director, Real World Data Insights you will provide exceptional healthcare data expertise throughout the contract/project lifecycle. You will translate client needs into data solutions, leveraging the largest healthcare data ecosystem in the US. Your clients and colleagues will rely on you for your real world data and evidence subject matter expertise, your deep understanding of the questions life science companies are asking, your strategic and consultative decisiveness in evaluating and confidently recommending appropriate data for research needs, and your seasoned approach to helping clients get the best use out of data. 

What you will do

• Collaborate and consult with internal stakeholders and provide expertise on data assets that will support client’s research questions
• Leverage medical and pharmacy claims, EMR, lab, chargemaster, SDOH, and other emerging data assets to address your clients research questions
• Co-lead discovery conversations with clients and provide consultative expertise related to real-world data strategy, study design, cohort select and other project specific needs
• Translate complex needs and methodologies into clear, actionable guidance for clients’ cross-functional stakeholders
• Use your healthcare and industry knowledge to speak to the strengths and suitability of HealthVerity’s data assets compared to industry offerings
• Develop and execute on a comprehensive data strategy tailored to specific research and business needs
• Guide clients in appropriately selecting and maximizing the value of integrated, disparate data sources
• Serve as a trusted thought leader by providing strategic insights and recommendations beyond transactional data procurement
• Educate clients by hosting post-sale training sessions to impart your expertise and recommendations on the effective use of healthcare data
• Offer forward-thinking guidance on emerging data trends, novel analytic approaches, and best practices in real-world evidence generation
• Prepare and deliver study specific presentations, data feasibility assessments and proposals in the pre-sales phase
• Identify potential limitations or gaps early in the project lifecycle and propose mitigation strategies or solutions to enhance usability and client satisfaction
• Develop internal project specification and supporting materials, including market definitions, business rules and requirements documents
• Mine HealthVerity's vast data assets, using SQL or Python, in search of unique insights

How success is defined

• Serves as a strategic partner to sales leadership throughout the opportunity lifecycle
• Provides thought leadership to the broader RWD/RWE industry through publishing, presenting, and evangelizing the work HealthVerity is doing with government and life science clients
• Executes use case-specific training and educational events for clients and users of HealthVerity data
• Creatively and strategically positions HealthVerity to win against the competition by building trust and credibility as a subject matter expert (SME)

Required skills and experience

• Master’s degree in epidemiology, public health, public policy, statistics, math, health economics, life sciences, or clinical practice (e.g. RN, PharmD, Lab technologist, etc)
• At least 3 years experience in a consultative, client-facing role with participation as a core team member participating in RFI/RFP response, and prospective client meetings, with preference for customers in the government and life sciences industries 
• At least 5 years experience designing and executing research projects in RWD, epidemiology/ pharmacoepidemiology, HEOR, and/or real world evidence generation (RWE)
• Experienced in applying real-world data to specific healthcare and life-science related research questions and use cases in a variety of therapeutic areas
• Proficient in programming with experience in SQL or Python and experience coaching others in the use of standard code/scripts for healthcare use cases 
• Subject matter expertise across various healthcare data types (e.g. claims, EMR, labs, patient-reported outcomes, etc) and coding standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC taxonomy, etc)
• Exceptional attention to detail and ability to identify and mitigate risk to a project or proposal outcome

Desired skills and experience

• Knowledge and passion for improving the healthcare systems and clinical outcomes by leveraging the largest data ecosystem in the US
• Experience planning and executing training and development programs against a long-term roadmap, preferably within the scope of a large enterprise life sciences contract
• Strong communicator, both written and oral, with the ability to translate client needs into actionable data solutions
• Team player, working collaboratively with colleagues, management, and staff across all levels of a cohesive organization
• Highly organized, consultative, and proactive critical thinking
• Thrives in a rapidly changing, fast paced environment
• Ability to travel for client meetings as needed (up to 10%)

Base salary for the role is commensurate with experience and can range between $165,000 - 190,000 + annual bonus opportunity.

How You Will Help 

As a Senior Solutions Engineer, you’ll be pivotal in driving innovation and success by partnering with sales, product, and engineering teams to design tailored technical solutions for our customers, with a focus on supporting our media measurement and audience business. You'll facilitate decision-making and alignment across teams, removing barriers to close new business opportunities. By solving critical business needs, you'll ensure long-term customer success and inform our product roadmap and business strategy to meet evolving market demands efficiently.

What You Will Do

• Own the pre-sales development and documentation of SaaS configurations and technical solutions 
• Build relationships with clients as their primary technical resource throughout the sales cycle
• Understand the customer’s business needs and use case to develop creative solutions that drive satisfaction and lead to long term engagements
• Support clients with internal decisions regarding their technology stack and configuration for the use of HealthVerity products
• Scope solutions to fit within a customer’s budget and timeline
• Inform strategic decisions on new product/feature development and commitment of internal resources 
• Work with internal teams to determine level of effort and and feasibility of novel workflows and configurations 
• Develop technical workflow diagrams 
• Initiate process improvement initiatives to speed up the sales process and ensure seamless transitions to post-sale customer teams
• Support the media sales team by supporting existing customers utilizing HealthVerity Audiences and Media Measurement solutions, explain our methodology and solutions to prospective customers, and solution for new clients onboarding to either product offering

How success is defined

• High customer satisfaction: Consistently deliver solutions accurately and on time, scoring well internally
• Timely solution delivery: Meet or exceed turnaround times for clients and internal stakeholders
• Expertise in HealthVerity tools: Operate independently with solid knowledge of HealthVerity's tools and procedures
• Technical solution creation: conduct in-depth requirements analysis to fully assess client needs, design the solutions to meet those needs, and effectively convey HealthVerity's vision to the clients
• HeathVerity offering expertise: fully understand the client value of all HealthVerity’s technical and data offering
• Professional representation: Professionally showcase HealthVerity's solutions to clients and internal stakeholders, while taking the lead in opportunity management processes
• Collaborative team player: Actively contribute to teamwork and collaboration across HealthVerity, fostering a cohesive and supportive work environment

Required skills and experience

• 5+ experience in a technical pre-sales role (e.g. sales engineering, solutions architect), preferably in the SaaS B2B space or equivalent experience in product or data workflow design
• 3+ years work in a client facing role and project management experience in a complex technical environment
• 3+ years of experience using SaaS products in the workplace (e.g. Salesforce, JIRA, Confluence, and LucidChart or similar software)
• 1+ year of experience building AI-enabled internal and/or client-facing solutions using low code or no code tooling (LLM, workflow automation, agents)
• Strong written and verbal communication skills and experience collaborating across varying levels of stakeholders

Desired skills and experience

• Familiarity with the healthcare industry and data ecosystem; direct experience working with large healthcare datasets a plus.
• Familiarity with SQL, Python, Databricks, ETL processes, and AWS environments
• Knowledge and experience in a regulated industry (e.g. HIPAA)
• Knowledge and experience in digital & tv advertising, media audience targeting, and advertising campaign measurement
• Familiarity with media technology: media and website pixeling, activating programmatic campaigns via DSPs

Base salary for the role is commensurate with experience and can range between $120,000 - 140,000 + annual bonus opportunity.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

About the Role:

As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we’ll be together next summer (2026), you will have the opportunity to uncover and communicate insights from our company data that will inform decision-making on open and pressing business questions. In close collaboration with Strategic Analytics team members, you will apply rigorous research approaches to frame analyses impacting key areas of the business, create high-quality analytic code to assemble evidence, and communicate clear and actionable recommendations to leadership based on your research. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.

Our greatest strength is our people and we’d love for you to be one of them!

What You’ll Bring:

• Currently enrolled in or will receive a Bachelor’s/ Master’s in a quantitative discipline with an expected graduation date between December 2026 – June 2027
• Knowledge of statistical research methods
• Experience using SQL for acquiring and transforming data
• Experience programming for data analysis and visualization (Python preferred)
• Experience with Business Intelligence tools (Tableau, Domo)

Bonus:

• Enrolled in a Master’s Degree or advanced technical degree
• Previous work experience in a technical field

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

What We’ll Bring For Internship: 

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.
  

Position Summary:

ParetoHealth is seeking a highly analytical and business-oriented Underwriting Analytics Lead to support underwriting, pricing, and strategic decision-making. This role is responsible for transforming raw, imperfect data into actionable insights and owning the underwriting reporting ecosystem.

In this role, you will operate at the intersection of data, underwriting, and strategy—balancing structured recurring work with ambiguous, high-impact analytical problem solving. You will partner cross-functionally with Underwriting, Finance, and Leadership to deliver insights that directly influence business outcomes.

This role is ideal for someone who thrives in a fast-paced, evolving environment, is comfortable working with imperfect data, and can move quickly from question to insight.

Key Responsibilities:

Analytics & Insights

• Conduct deep-dive, diagnostic analyses to understand trends, performance drivers, and anomalies in underwriting and portfolio performance
• Translate ambiguous business questions into structured analytical approaches and clear conclusions
• Develop hypotheses, test them with data, and clearly communicate “why” behind outcomes
• Support strategic initiatives (e.g., QBRs, leadership presentations) with high-quality analysis and storytelling

Dashboard & Reporting Ownership

• Own the development, maintenance, and evolution of underwriting dashboards and reporting tools
• Ensure accuracy, consistency, and usability of core reporting assets
• Proactively identify gaps in reporting and define a forward-looking dashboard strategy (what should exist, who needs access, etc.)
• Partner with stakeholders to ensure reporting meets business needs and drives decision-making

Business Partnership

• Develop a strong understanding of underwriting, pricing, and insurance dynamics (especially medical stop loss)
• Frame analyses in the context of business problems and decisions—not just data outputs
• Provide clear, actionable recommendations that influence underwriting and strategic direction
• Collaborate closely with cross-functional stakeholders to refine questions and align on solutions

Required Skills & Qualifications:

• Bachelor’s degree in Data Analytics, Business, Economics, Mathematics, or a related field
• 5-7+ years of experience in analytics, data, or a related role (experience in insurance, healthcare, or financial services preferred)
• Strong SQL skills and ability to independently extract and manipulate raw data
• Advanced proficiency in Excel and Tableau (or similar BI tools)
• Strong analytical and problem-solving skills with a structured, hypothesis-driven approach
• Experience working with imperfect or messy datasets (e.g., missing values, inconsistent coding)
• Excellent communication skills, with the ability to translate complex analysis into clear insights

Preferred Qualifications:

• Experience in healthcare, insurance, or medical stop loss
• Exposure to actuarial concepts or pricing/underwriting processes
• Experience using Python for data analysis or transformation
• Experience building dashboards or reporting tools used by business stakeholders

Perks & Benefits:

• Fully paid medical, dental, and vision benefits.
• Flexible PTO
• 401k company contribution
• Tuition reimbursement
• Professional development allowance
• Transportation allowance and daily parking reimbursement 
• Engaging hybrid work environment

The Demand Generation Manager is responsible for utilizing our ideal customer profile (ICP), target customer list, AI tools, and B2B demand generation expertise to accelerate pipeline generation. This role is critical for building a demand generation process upon which FORT can scale.

Responsibilities:

• Use AI solutions like Claude to analyze, augment, and accelerate demand gen processes
• Manage FORT’s ICP target account database for tailored outbound campaigns
• Responsibility for core demand gen KPI’s such as MQL’s, SQL’s, target account penetration, conversion rates, and pipeline coverage by multiple business segments
• Responsibility for the demand generation function, including digital marketing, SEO, GEO, events, webinars, and campaigns
• Sr. IC role with potential to grow a team with success

Qualifications:

• 4-7 years of experience in a demand generation function within B2B
• Skilled at modern GTM systems such as Salesforce, Gong, Clay, Zoominfo, and Hubspot
• Demonstrated success in reporting demand gen progress via management dashboards and Board slides

Preferred Qualifications:

• 1 year+ experience connecting AI systems such as Claude to GTM business tools
• 1 year+ experience deploying AI agents to automate GTM processes

Compensation & Benefits

The base salary for this position ranges from $130,000-$155,000 based on qualifications, experience, and the level at which the candidate is hired. Total compensation may also include additional incentives and benefits. 

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

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

How you’ll make an impact 

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

What you’ll need to be successful

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

What will make you stand out

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

About the Role:

Perpay is seeking a driven Analyst to join our team as a key player in growing our impact on our customers’ financial futures. You will take on a pivotal role in breaking down complex business problems from across our organization, using data to uncover the factors at play, and formulating recommendations to help us take action intelligently. 

In this role, you’ll collaborate broadly and present your insights directly to company leadership. Your ability to think critically, dive deep into data, and communicate insights effectively will have a lasting impact on our organization’s success. With the freedom to independently drive projects in a fast-paced, high-growth environment, you’ll play a central role in building data-informed strategies that enhance our business.

This role is a perfect fit for someone who thrives amidst ambiguity, loves tackling tough problems, and wants to help build something big. 

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Analyze Complex Business Problems: Partner with stakeholders from across the business to define challenges, identify opportunities, and deliver data-driven insights.
• Deliver Executive-Ready Recommendations: Translate analysis into clear, compelling recommendations, presenting them directly to senior leadership and influencing decision-making at the highest level.
• Collaborate Cross-Functionally: Build strong relationships across teams to ensure data insights are actionable and impactful, fostering trust in our analytics team.
• Dive Deep into Data: Write and execute advanced SQL queries and leverage Python or R to extract and analyze data, uncover trends, and solve problems with precision.
• Support Business Growth: Develop analytics-backed strategies to grow our impact, improve operational efficiency, and unlock opportunities for our customers and organization.
• Build Scalable Solutions: Contribute to the development of self-service BI tools and dashboards that empower teams to make data-informed decisions.
• Thrive in Ambiguity: Drive projects forward with minimal direction, navigating uncertainty with creativity and determination to uncover solutions.

What You’ll Bring:

• Undergraduate or master’s degree in a quantitative/STEM field having graduated in 2024, 2025, or graduating in 2026
• Experience framing and then solving problems through data analysis and quantitative thinking
• Experience with Python and SQL
• Impactful internship experience 
• Ability to communicate recommendations effectively verbally and in writing 
• Comfort in driving a project forward independently amidst ambiguity and change
• Ability to collaborate and build trust in a team setting 

Preferred qualifications:

• Experience presenting to C-Level executives
• Experience at a startup (especially in financial technology)
• Experience with Business Intelligence tools e.g. Domo, Power BI, Tableau
• Experience with Git and Github

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

What we are looking for:

As an Inventory Associate, you'll focus on taking our inventory management to the next level of operational excellence. You will be responsible for everything related to Vault operations: receiving, storing, and shipping out. The Vault is the physical backbone of Alt’s portfolio management & Exchange platform, and your team will be responsible for safely managing our most valuable assets. 

Vaulting is a differentiated service offering to customers and is an independent revenue stream to Alt. You will work closely with other members of the Central Operations, Account Management, and Product teams to build and optimize vaulting processes, drive efficiencies, and directly contribute to the growth of the company. 

Please note we are looking for Inventory Associates for our Second Shift: 3PM-11PM  

The impact you will make:

• Ensure the seamless end-to end operations of the intake, outtake, and vaulting processes
• Directly facilitate the receiving, digitization, cataloging, and shipment of all sports cards 
• Develop process and system improvements to continually raise the bar of execution for vaulting
• Work directly with our internal product and data teams and to continually implement and test new solutions
• Drive forward the future vision of the Vault experience with our customer support team
• Engage with multiple levels of internal & external stakeholders

What you bring to the table:

• Bachelor's degree, preferred
• Minimum 2 years of working experience in a high-volume and fast-paced operational, B2B or logistics support environment
• Demonstrated ability to manage effectively, set goals, super high attention to detail, and enjoys challenging situations
• Self motivated with a deep affinity for problem solving, always challenging the status quo and never settling for how something ‘has always been done’
• Always willing to roll up your sleeves and take on something hands-on
• Bonus Points if you have a Bachelor's degree in Business, Engineering, Supply Chain / Logistics / Manufacturing or a related discipline
• Bonus Points if you have technical skills in SQL, Excel and/or Data visualization

This role is performed onsite in Alt’s Vault facility and requires regular participation in hands-on warehouse operations. The following requirements represent the essential functions of the role and may be performed with or without reasonable accommodation.

Physical Requirements:

• Ability to stand and move throughout the facility for extended periods of time during scheduled shifts
• Ability to frequently lift, carry, push, and pull inventory and materials as part of daily operations
• Ability to reach overhead, bend, stoop, kneel, and crouch to access inventory stored at varying heights
• Ability to manually handle, inspect, and package inventory with a high degree of care and attention to detail
• Ability to safely use ladders, shelving systems, carts, and other warehouse equipment in accordance with safety guidelines

Work Environment:

• Work is conducted in a warehouse and vault environment, which may include concrete flooring & moderate noise levels.
• Tasks may involve repetitive motions and sustained focus to ensure accuracy and asset protection
• Adherence to all safety, security, and operational procedures is required at all times

Scheduling & Attendance:

• This is an onsite role based at Alt’s Vault location in Delaware
• Reliable and consistent attendance is required to support operational continuity
• Schedule flexibility may be required during periods of increased volume or operational demand

What you will get from us:

• You will be given resources to help grow your personal brand and to position yourself as a thought leader in areas relevant to Alt.
• Ground floor opportunity as an early member of the Alt team; you’ll directly shape the direction of our company. The opportunities for growth are truly limitless.
• An inclusive company culture that is being built intentionally to foster an environment that supports and engages talent in their current and future endeavors.
• Stipend to invest in alternative assets
• 401K, Work from home and Wellness Stipends 
• Unlimited vacation policy
• Generous paid parental leave
• Competitive healthcare benefits, including HSA, for you and your dependent(s)

Compensation: $45,000 - $50,000 Yearly 

Title: Lead/Senior Quantitative Analyst, Predictive Modeling
Department: Baseball Research & Development
Reports to: Director, Predictive Modeling
Status: Regular Full-Time
Location: Philadelphia, PA; also open to Remote

Job Description
As a Lead/Senior Quantitative Analyst, Predictive Modeling, you help shape the future of Phillies Baseball Operations by building statistical models to forecast player performance and communicating those results to decision-makers. Using analytical rigor and sophisticated statistical modeling techniques, you identify opportunities for the Phillies to improve via the application of forecasts to player development and evaluation. Join a team doing cutting-edge foundational research on biomechanics, human movement, ball-flight physics, and more, with the unique opportunity to apply those findings to player evaluation.

Responsibilities

• Conduct and oversee statistical forecasting projects in multiple baseball subject areas
• Collaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation models
• Maximize organizational impact of the department’s player evaluation models by advocating model-driven decision-making in various baseball contexts
• Ensure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cycles
• Assist and mentor other members of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball and statistical modeling
• Continually enhance your and your colleagues’ knowledge of baseball and data science through documentation, reading, research, and discussion with your teammates and the rest of the front office

Required Qualifications

• 2-5+ years of relevant work or graduate school experience
• Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
  ○ To determine leveling we look at a variety of factors including, but not limited to,
  years of experience and education. Typically we consider candidates as Lead QA
  around 2-3 years of experience and Senior QA around 4-5+ years of experience
• Proficiency with scripting languages such as Python, statistical software (R, S-Plus, SAS, or similar), and databases (SQL)
• Demonstrated experience designing, constructing, implementing, and leading technical research projects for use by non-technical stakeholders
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Preferred Qualifications

• Experience with a probabilistic programming language (Stan, PyMC, etc.)
• Experience managing or overseeing the work of other data scientists or analysts
• Experience with model-driven decision-making under uncertainty (eg. a rigorous approach to fantasy sports, poker, etc.)

Interested applicants should submit both their resume and an answer to the following question:

The R&D department has been asked to identify the best defensive center fielder in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

About the Role:

As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation.  In the 10-12 weeks we’ll be together next summer (2026), you will have the opportunity to leverage our expansive data sets to research, identify and build features to train models and drive real impact. Applying your knowledge of topics such as modeling, statistical methodologies, and exploratory data analysis you will partner with business leaders and communicate solutions designed to drive company growth. You will also have the opportunity to think proactively and futuristically to identify opportunities to contribute to our long-term roadmap for Data Science. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.

Our greatest strength is our people and we’d love for you to be one of them!

What You’ll Bring:

• Currently enrolled in or will receive a Bachelor’s in Data Science, Computer Science, Computer Engineering, Information Systems or an equivalent technical discipline with an expected graduation date between winter 2026 – summer 2027
• Knowledge of machine learning and statistical research
• Experience using SQL for acquiring and transforming data
• Proficient in programming, analysis and visualization using object-oriented programming languages (Python preferred)
• Experience with object-oriented programming languages (Python preferred))

Bonus:

• Enrolled in a Master’s Degree or advanced technical degree
• Previous work experience in a technical field
• Experience with implementing machine learning solutions to production environments
• Understanding of modern scalable data science platforms

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

What We’ll Bring For Internship: 

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.
  

About the Role:

As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we’ll be together next summer (2026), you will have the opportunity to build data pipelines, design tools and infrastructure needed to analyze large volumes of data and help solve big data warehousing problems. You will have the opportunity to partner with stakeholders to design and implement cutting edge data solutions and synthesize clear takeaways from complex information to drive recommendations to management. In addition to working on projects of real impact, you will have the ability to meet with various business owners to drive personal and professional development and expand your network. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.

Our greatest strength is our people and we’d love for you to be one of them!

What You’ll Bring:

• Currently enrolled in or will receive a Master’s in Computer Science, Computer Engineering, Information Management, Information Systems, Mathematics or an equivalent technical discipline with an expected graduation date between winter 2026 – summer 2027
• Experience using SQL for acquiring and transforming data
• Experience with database and / or data warehouse operations
• Exposure to third-party APIs
• Experience with object-oriented programming languages (Python preferred)

Bonus:

• Previous work experience in a technical field
• Exposure to open-source data tooling and cloud computing systems
• Understandings of data types and storage paradigms

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

What We’ll Bring For Internship: 

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.