We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

As an ideal candidate, you will have:

• 8+ years of pre-sales experience with enterprise software and technical aptitude
• Working knowledge and ability to code with one  or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) 
• Experience with scalable and highly available distributed systems 
• 2+ years of software development experience
• Excellent presentation and communication skills 
• The ability to travel up to 50%
• A Bachelor’s degree or equivalent work experience
• Professional proficiency in speaking and writing Portuguese and English 
• Professional proficiency in speaking and writing Spanish is highly preferred

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data modelling
• Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
• A cloud provider certification
• A MongoDB Certification 

What you do at MongoDB:

• You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB 
• You confidently articulate the business value of MongoDB solutions and bridge this to technical value
• You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You translate technical concepts and patterns into business benefits for management and executives 
• You act as a liaison, gathering feedback from the field to relay back to the Product Management team
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
• You have situational awareness and react appropriately in group settings

Particularly with Partners:

• You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
• You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
• You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
• You have a strong understanding of partner business model, value, and needs
• You demonstrate the ability to anticipate and respond appropriately to partner objections
• You are seen as a “Trusted Advisor” with technical partner stakeholders
• You team up to build joint proposals with partners for the client
• You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
• You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
• You create strategies that map specific industry trends to account base within local partner organizations
• You create strategies that map competitive threats within local partner organizations

What you will learn:

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1273379214

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

As an ideal candidate, you will have:

• 8+ years of pre-sales experience with enterprise software and technical aptitude
• Working knowledge and ability to code with one  or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) 
• Experience with scalable and highly available distributed systems 
• 2+ years of software development experience
• Excellent presentation and communication skills 
• The ability to travel up to 50%
• A Bachelor’s degree or equivalent work experience
• Professional proficiency in speaking and writing Portuguese and English 
• Professional proficiency in speaking and writing Spanish is highly preferred

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data modelling
• Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
• A cloud provider certification
• A MongoDB Certification 

What you do at MongoDB:

• You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB 
• You confidently articulate the business value of MongoDB solutions and bridge this to technical value
• You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You translate technical concepts and patterns into business benefits for management and executives 
• You act as a liaison, gathering feedback from the field to relay back to the Product Management team
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
• You have situational awareness and react appropriately in group settings

Particularly with Partners:

• You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
• You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
• You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
• You have a strong understanding of partner business model, value, and needs
• You demonstrate the ability to anticipate and respond appropriately to partner objections
• You are seen as a “Trusted Advisor” with technical partner stakeholders
• You team up to build joint proposals with partners for the client
• You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
• You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
• You create strategies that map specific industry trends to account base within local partner organizations
• You create strategies that map competitive threats within local partner organizations

What you will learn:

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273379214

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.

Work Period: June 2026 to August 2026 

Location & Schedule: This is a full-time, 40-hour-per-week position with a minimum of 3 days per week onsite either in Miami, FL or in Needham, MA. There is no relocation or housing assistance for this position. 

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next — fast. 

This role: As an Applied AI & Analytics Intern, you'll be at the heart of driving company-wide AI transformation and working on high-impact, cross-functional business problems. 

You'll partner closely with other members of the team to utilize AI to turn data into insights that inform decisions across the company. This role sits at the intersection of SharkNinja's Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving you direct exposure to real AI deployments, not sandbox exercises. 

The internship is built for builders who want to learn by doing, moving fast, and seeing their work in production, not in a slide deck at the end of the summer. We have a strong preference for those who bring full-stack or data analytics experience and are ready to apply it in a real business environment from day one.  

Here are some of the EXCITING things you'll get to do: 

• Support the scoping and analysis of business questions by gathering and organizing relevant data
• Write AI prompts and assist in data cleaning and preparation
• Design and iterate on AI prompts to extract actionable insights from business data
• Help build dashboards, reports, or simple models used by internal teams through the use of AI tools
• Assist in identifying trends, patterns, and insights within datasets through AI
• Use AI tools to improve efficiency and support analytical workflows
• Contribute to agentic workflow prototypes that automate manual, high-friction business processes
• Contribute to materials that communicate findings to stakeholders
• Help identify data gaps or inconsistencies and flag opportunities for improvement 

Our ideal builders will have the following attributes & skills:

• Education: Must be currently enrolled in a bachelor's or master's program
• Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Miami, FL or Needham, MA
• Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
• Experience actively building with AI tools (LLMs, automation workflows, or agent frameworks), not just using them
• Experience working with real-world or messy datasets
• Working knowledge of SQL, Python, or similar tools through coursework or projects
• Ability to approach problems in a structured and logical way
• Interest in consumer products, retail, or e-commerce
• Embodies SharkNinja's Success Drivers:
  • Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing
  • Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning
  • Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input
  • Winning is a Team Sport – Ability to develop strong cross-functional relationships
  • Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management 

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience! 

Summary: Seeking an experienced contractor with extensive expertise in scripting, server configuration, and infrastructure management to support and optimize the Department WIC data system and associated applications. This role involves daily technical support, troubleshooting, and enhancing system performance through strategic recommendations.

Responsibilities:

• Conduct daily development and technical support for the Department WIC data system and interfaces, including EBT system and other applications.
• Troubleshoot and provide solutions for daily processing and development issues.
• Maintain and submit documentation on system performance, including maintenance and process corrections.
• Identify and recommend operational efficiencies to enhance system performance.
• Conduct evaluations of new software or hardware and recommend technologies to support business processes.
• Analyze and document technical requirements for system fixes, modifications, and enhancements.
• Produce work plans for implementing infrastructure requirements for system platform improvements.
• Create scripts for system fixes, modifications, enhancements, interfaces, and integration processes.
• Conduct and document testing results for system modifications and enhancements.
• Produce documentation for system modifications and enhancements as required.

Qualifications:

• Minimum of ten years in scripting and infrastructure management using PowerShell, SQL, Python, and MS batch scripts.
• Ten years of experience in configuring Windows server installations and applying security best practices.
• Five years of experience with Infrastructure-as-Code (IAC) using platforms such as Kubernetes, Helm, and Ansible.
• Five years with Microsoft SCCM or Intune and management of end-user workstations.
• Five years supporting Linux/BSD server installations.
• Five years of experience with Active Directory and group policies.
• Five years of experience supporting business applications in cloud-native architectures.
• Understanding of network protocols, topologies, VLANs, subnets, and route tables.
• Exceptional logical troubleshooting skills and self-motivation, evidenced by career achievements or advancements.

Ll:#Onsite 

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW

ThreatLocker’s SQL Developer plays a key role in building and optimizing high-performance SQL queries that power critical application features. This role focuses on designing and implementing scalable data workflows, writing stored procedures, tuning query performance, and integrating data across systems through ETL pipelines. The developer also collaborates closely with engineering and product teams to support reporting, analytics, and data migrations—ensuring fast, reliable access to data while enforcing secure access controls. The role will be based in Orlando, FL and is an in-office position.

JOB DUTIES

The SQL Developer will be responsible for, but not limited to:

• Develop and optimize high-performance T-SQL queries, stored procedures, views, and user-defined functions  
• Design and implement SQL databases aligned to end-user needs and application requirements 
• Build scalable ETL workflows using SSIS packages and improve their architecture for speed and reliability 
• Investigate and resolve performance issues—index tuning, transaction log handling, and query optimization 
• Migrate data across platforms while ensuring integrity, consistency, and zero downtime 
• Create solutions that distribute data to the right users at the right time, in the right format 
• Monitor and fine-tune database configurations to ensure fast and stable query responses 
• Regularly test systems to maintain data security, privacy, and compliance standards 
• Provide hands-on data access support and troubleshooting for application and internal users 
• Collaborate with the dev team to establish development standards and ensure consistent practices 
• Document schema designs, development workflows, and database policies clearly 
• Apply patches, updates, and system changes as needed for ongoing reliability 
• Deliver technical support for various in-house applications and systems
• This position requires participation in a rotating on-call schedule and periodic adjusted work hours,
  including an 11:00 AM – 8:00 PM shift rotation, based on business needs and once training is completed.
  Additional compensation for on-call coverage will be provided in accordance with company policy 

QUALIFICATIONS

• Minimum of three years of experience with SQL server 
• Proficient in writing code for update queries, update data dictionaries as new fields are added to the database, and maintain a data correction log 
• Experience managing database utilities and monitoring relationships between users and applications 
• Knowledgeable in network hardware and software 
• Proficient in understanding of relational databases concepts and query languages to design summary and aggregate tables which support analysis 
• Experienced in creating and maintaining data correction logs that identify the date the correction that was performed, tables and fields effected, submission effected, error code effected, and other pertinent metadata. 

WORKING CONDITIONS

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

About Clear Street: 

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.

We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Clear Street’s proprietary prime brokerage platform adds significant efficiency to the market, while focusing on minimizing risk, redundancy, and cost for clients. Our goal is to create a single source-of-truth platform for every asset class, in every country, and in any currency.

By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets.

Overview

Clear Street, LLC is seeking an experienced and highly motivated Associate Director to join our Risk/ Margin team. This critical role involves overseeing daily margin activities, ensuring strict compliance with both regulatory mandates and internal house requirements, and developing strategic initiatives to enhance team performance and support business expansion. The successful candidate must possess deep expertise across several key areas: financial instruments, collateral management, relevant regulatory frameworks (including Federal Reserve - Regulation T, FINRA 4210, CFTC, and SEC 18a-3), and the end-to-end front-to-back office processes related to trading and clearing.

Key Responsibilities

Margin and Collateral Management

• Manage the daily calculation, issuance, and settlement of margin calls.
• Ensure the accurate and timely management of collateral, including eligibility assessments, optimization, and allocation.
• Serve as a subject matter expert for margin methodologies, requirements, and internal firm house policy.
• Spearhead efficiency and improvements within the collateral management infrastructure and operational workflows.

Regulatory Compliance and Reporting

• Maintain a current understanding of evolving global financial regulations impacting risk and margin
• Ensure departmental adherence to all relevant internal policies, external regulations, and audit requirements.
• Manage the preparation and submission of internal and external regulatory reports related to risk, capital, and collateral.
• Serve as a key contact for regulatory examinations and internal audits related to risk controls and margin processes.

Leadership and Strategy

• Contribute to the strategic development and implementation of the firm’s overall risk framework and technology roadmap.
• Partner with Technology, Operations, Legal, and Front Office teams to execute new product launches and process enhancements.
• Identify and implement automation opportunities to streamline risk and margin processes, reducing operational risk.

Qualifications

Essential

• Bachelor's degree in Finance, Economics, Quantitative Methods, or a related field.
• 7+ years of experience in margin management , risk management, collateral operations, or a quantitative finance role within a major financial institution (e.g., investment bank, clearing house, asset manager).

Desirable

• Experience with risk management systems or collateral management platforms.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Excellent communication skills, both written and verbal, with the ability to articulate complex risk issues to senior management and diverse stakeholders.
• Proven expertise in risk metrics (VaR, stress testing, PFE) and margin methodologies (SIMM, SPAN, etc.).
• Strong knowledge of global derivatives markets, secured financing transactions

We Offer: 

The Base Salary Range for this role is $125,000-170,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.

At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets.

IEM is currently seeking a Quality Systems Technician for our Jacksonville FL. locations and will report into the Quality Systems Leader. The Quality Systems Technician plays a key role in supporting the development, implementation, and maintenance of digital quality systems, smart tools, and quality infrastructure. Reporting to the Lead Quality Systems Engineer, this role focuses on setting up systems, troubleshooting technical issues, and enabling the smooth integration of quality processes within manufacturing operations.

Please note: This position requires 100% in-office presence in our Jacksonville offices and does not offer remote work.

Key Responsibilities:

• Support the setup, configuration, and validation of quality systems, including smart tools, AI cameras, and digital inspection devices.
• Assist in troubleshooting issues related to EQMS platforms, smart inspection systems, and quality data capture tools.
• Work with engineering, IT, and quality teams to integrate new tools and systems into production processes.
• Help build and maintain process flows, control plans, and digital documentation related to quality system infrastructure.
• Support the digitization, automation, and standardization of quality and traceability records, including inspection data, testing logs, serialization records, and process verification checkpoints.
• Contribute to the creation and refinement of standard operating procedures (SOPs), work instructions, and user guides related to quality systems.
• Participate in pilot runs and process trials to validate functionality and integration of smart quality tools.
• Monitor system performance and escalate recurring issues or improvement opportunities.
• Maintain accurate documentation of setups, system changes, and configuration parameters.
• Provide technical support to shop floor users to ensure quality systems are functioning correctly.
• Assist in quality-related training sessions for new tools or systems implementation.
• Coordinate with vendors or suppliers when technical support or software updates are needed for system hardware or software.
• Perform other duties as needed to support the implementation and sustainability of quality system initiatives.
• Ability to develop & update programs and scripts for data validation, data sorting, automation, and creation of dashboards and visual reporting tools. 
• Familiarity with serialization, traceability systems, digital quality records, and manufacturing data management principles is strongly preferred.

Qualifications:

• Diploma or technical certification in Quality, Engineering Technology, Mechatronics, or a related technical field.
• 2+ years of experience in a manufacturing or engineering support role, preferably with exposure to quality or production systems.
• ⁠Experience with programming, scripting, or data visualization tools such as Python, SQL, VBA, or similar platforms is considered an asset.
• Familiarity with EQMS platforms, process automation, or smart inspection technologies is an asset.
• Strong troubleshooting and problem-solving skills in both hardware and software environments.
• Ability to read technical drawings, flowcharts, and system diagrams.
• Comfortable working in a cross-functional environment with engineering, IT, and operations teams.
• Proficient in Microsoft Office and experience with digital tools used in quality systems.
• Good communication skills and a detail-oriented mindset.
• Knowledge of lean manufacturing or six sigma principles is a plus.
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization 

Working Conditions:

• Split between office and shop floor environments.
• May require light hands-on work for system setup, testing, and troubleshooting.

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. 

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

Location: US Remote

Reports To: Director of Data and Analytics 

Salary Range: $130,000 - $170,000

Position Summary:

The Data Engineer is a core builder on IEM’s data and analytics team. This role develops and maintains the data pipelines and transformation models that power Tableau dashboards and business decisions across the organization. Working within an established modern data stack (Fivetran, Snowflake, dbt, Tableau. The Data Engineer turns raw source data into reliable, well-tested, and well-documented analytics-ready datasets. This is a hands-on individual contributor role with real ownership of production data models and growing influence on engineering standards.

Ideal Candidate Profile

You have 3–5 years of experience building data pipelines and transformation workflows in cloud environments. You’re proficient with SQL and Python, comfortable working in Snowflake, and have hands-on experience with dbt or similar transformation tools. You write clean, tested code and take pride in documentation. You’re curious about the business context behind the data and can translate stakeholder questions into well-modeled datasets. You work well on a small team, take feedback constructively, and are eager to grow your skills in analytics engineering, data modeling, and cloud data architecture. You’re excited about AI’s role in modern data work and comfortable using AI coding assistants and agents to accelerate your output.

Key Responsibilities:

• Data Pipeline Development: Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake
• dbt Transformation Models: Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering
• Data Modeling: Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis
• Data Quality: Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause
• Source System Integration: Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse
• Documentation: Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work
• Collaboration: Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions
• Performance: Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times
• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes
• Continuous Learning: Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team
• AI-Assisted Development: Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field, or equivalent experience
• 3–5 years of experience in data engineering, analytics engineering, or BI development with hands-on experience building production data pipelines
• Strong SQL skills including CTEs, window functions, complex joins, and query optimization
• Experience with Snowflake or similar cloud data warehouses
• Working experience with dbt (data build tool) for building and testing data transformation workflows
• Proficiency in Python for data processing, scripting, and API integrations
• Experience with data integration platforms such as Fivetran or similar ELT tools
• Familiarity with Tableau or similar BI tools and understanding of how data structure impacts dashboard performance
• Comfortable with Git version control and modern development workflows including code review and CI/CD
• Strong problem-solving skills with ability to debug data issues systematically
• Clear written and verbal communication skills with ability to document work and explain technical concepts to non-technical stakeholders
• Self-motivated with ability to work independently in a remote environment while collaborating across a distributed team
• Experience using AI coding assistants (e.g., Claude, GitHub Copilot) and comfort directing AI agents to perform data engineering tasks such as writing SQL, generating dbt models, and debugging pipeline issues
• Preferred: Experience with manufacturing, construction, or project management data systems such as Procore, ERP platforms, or supply chain tools
• Preferred: Familiarity with dimensional modeling concepts (star schemas, fact/dimension tables)

Location

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

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 

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become technically solid for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 3+ years of experience in cloud data engineering. 
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Your Impact

As a Technical Account Manager, you will be a key player in deploying and supporting Axon’s software solutions directly within law enforcement agencies. You will leverage your expertise in Axon products and services to provide high-level technical support, manage complex deployments, and foster strong customer relationships. You will serve as the primary point of contact for your assigned agencies, handling major technical issues, driving software adoption, and acting as an advocate for the customer within Axon. Your work will contribute to enhancing public safety and saving lives by ensuring our technology is effectively utilized by those who need it most.

What You’ll Do

Location: On-site in Palm Beach, FL with the Palm Beach County Sheriff's Office
Reports To: Senior Manager of Technical Account Management Services

• Lead Technical Support: Act as the main technical liaison for assigned agencies, diagnosing and resolving complex technical issues with Axon's products and services.
• Drive Deployments: Collaborate with deployment teams to design, configure, test, and implement Axon software solutions, ensuring successful rollouts.
• Manage Crisis Situations: Respond quickly to critical technical issues, acting as a crisis manager to restore functionality and minimize impact on agency operations.
• Advocate for Customers: Represent agency needs and feedback internally at Axon, influencing product development and service improvements.
• Promote Best Practices: Guide agencies through change management processes, identifying pain points and providing solutions to optimize software usage and adoption.
• Collaborate Across Teams: Work closely with cross-functional teams, including engineering, product management, and sales, to ensure a seamless customer experience.
• Data Management and Reporting: Utilize tools like Microsoft Power BI, SQL Server, and Form Builder/JSON to build custom dashboards, manage data integrations, and support reporting needs.
• Training and Education: Provide advanced training and training documentation to agency staff on Axon’s products and services, ensuring they are well-equipped to use the tools effectively.
• Provide Onsite Support: Work onsite with customers to resolve issues, provide training, and ensure the agency's needs are met promptly.

What You Bring

• Education: Bachelor’s degree in business administration, computer science, or a related field, or equivalent experience.
• Experience: 4+ years of experience in a technical account management or similar customer-facing role, preferably within the public safety or software sectors.
• Technical Expertise: Demonstrated experience in deploying SaaS solutions, including configuring, testing, and troubleshooting complex software applications.
• Customer Relationship Management: Proven ability to build and maintain relationships with diverse stakeholders, acting as a trusted advisor and advocate for customers.
• Cross-Functional Collaboration: Experience working with cross-functional teams (engineering, marketing, sales, customer support) to deliver high-quality support and product improvements.
• Problem Solving: Strong skills in root cause analysis, troubleshooting, and the use of tools like Splunk, JIRA, and Salesforce.
• Technical Skills: Advanced knowledge of Windows OS, networking (routing, switching, Wi-Fi), cloud solutions, virtualization, and storage.
• Data Analytics and Reporting: Experience with data management and reporting tools (Microsoft Power BI, SQL Server) and creating meaningful insights.
• Flexibility: Willingness to work onsite with customers and be available outside of normal business hours for critical issues.
• Compliance: Ability to pass a Criminal Justice Information Services (CJIS) background check and handle confidential information with discretion.
• Advanced Technical Skills: Experience building custom dashboards, writing SQL queries, and using advanced analytics tools.
• Experience in Public Safety: Previous experience supporting or working with public safety or law enforcement agencies.
• Certifications: Relevant technical certifications (e.g., Microsoft, Cisco, ITIL) are a plus.
• Law Enforcement Systems: Familiarity with law enforcement software systems such as RMS, CAD, and CJIS standards is highly desirable.

Benefits that Benefit You

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

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

Job Title: Automation Engineer 
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time On-Site
Location: Florida Panthers Hockey Club

Position Overview

We are seeking an Automation Engineer with 1–3 years of experience to partner with departments across the Florida Panthers organization — from Marketing and Ticket Sales to Corporate Partnerships, Finance, Retail, and Venue Operations — to identify high-value automation opportunities and ship the tools that capture them. Operating 100% on-site at our Sunrise offices, this role combines backend engineering with stakeholder-facing work; you will spend meaningful time understanding how the business actually operates and translate that knowledge into Python-based scripts, integrations, and AI agent tools that eliminate manual effort. While we value process-improvement or business-systems experience, we are primarily looking for a hands-on builder with elite Python skills who is excited to write code that has direct, visible impact on a championship organization.

Key Responsibilities

• Partner with internal departments to shadow workflows, identify pain points, and scope automation opportunities that translate manual effort into measurable time savings.
• Design and build Python-based automation scripts, integrations, and agent tools that connect internal systems via APIs and webhooks.
• Contribute to our internal AI agent platform by building agents that automate repetitive, template-based, or judgment-light work across departments.
• Document existing workflows clearly and produce simple analyses to support build-vs-buy and prioritization decisions.
• Contribute small interface features to internal applications when an automation requires a user-facing component.
• Present findings, demos, and recommendations to non-technical stakeholders, translating technical work into a clear commercial narrative.
• Collaborate closely with the Platform Engineer and Product Engineer on shared infrastructure, interfaces, and integration points.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field.
• 1–3 years of experience in software engineering, business systems, process automation, or a similar hands-on technical role.
• Solid proficiency in Python, with a focus on writing maintainable, production-ready automations and integrations.
• Demonstrated experience working with REST APIs, webhooks, and integrating disparate business systems.
• Comfort writing SQL to extract and validate data from relational databases.
• Exceptional written and verbal communication; proven ability to explain technical work clearly to non-technical audiences.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience automating workflows across business systems used in CRM, marketing, finance, or operations.
• Familiarity with cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.) and workflow orchestration tools (e.g., Prefect).
• Exposure to LLM applications, prompt engineering, or AI agent frameworks.
• Experience producing simple business analyses or process documentation alongside automation work.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Data Science team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply technical craft to the exciting world of professional sports.

Position Type/Expected Hours of Work:
This position is on-site in our Sunrise, FL offices (no remote work is available).  This is an exempt salaried position. Must be able to work flexible hours including nights, weekend, and occassional holidays.

Job Title: Platform Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking a Platform Engineer with 1–3 years of experience to join our Data Science team and help build the backend infrastructure that powers our internal AI applications, automations, and data products. Operating 100% on-site at our Sunrise offices, you will work hands-on with our AWS-based platform — designing the services, pipelines, and orchestration logic that the rest of the engineering team builds upon. While we value experience with applied AI or cloud infrastructure, we are primarily looking for a strong engineering foundation with elite Python skills; if you bring the technical horsepower, we will provide the industry context and the platform to see your work directly support a championship organization.

Key Responsibilities

• Design, build, and maintain backend services in Python that run on our AWS infrastructure (ECS/Fargate, SQS, RDS, Lambda) and serve as the foundation for AI applications across the organization.
• Architect and contribute to data pipelines that move information between Redshift, internal applications, and AI agents, ensuring our infrastructure is efficient, reliable, and scalable.
• Extend our internal AI agent platform by writing services that support agents, integrations, and orchestration logic for use cases across every revenue-generating department.
• Build and manage cloud infrastructure as code using Terraform, transforming manual configuration into production-grade, repeatable deployments.
• Establish and maintain monitoring, logging, and cost-tracking practices to guarantee the reliability and efficiency of all production services.
• Build and maintain automated deployment pipelines (CI/CD) and participate in code reviews and architectural discussions with the broader engineering team.
• Collaborate closely with the Automation Engineer and Product Engineer on shared services and integration points that span the full stack.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• 1–3 years of experience in backend engineering, platform engineering, data engineering, or a similar infrastructure-intensive role.
• Solid proficiency in Python, with a focus on writing maintainable, production-ready code for backend services.
• Hands-on experience designing and operating services on a major cloud platform; AWS strongly preferred.
• Working knowledge of relational databases (e.g., Postgres, Redshift) and SQL.
• Experience with version control (Git), Docker, and Linux command-line environments.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience with infrastructure-as-code tools such as Terraform.
• Experience with workflow orchestration (e.g., Prefect) and event-driven architectures using message queues.
• Exposure to LLM applications, retrieval-augmented generation (RAG), vector databases, or AI agent frameworks.
• Experience building and maintaining REST APIs or other service interfaces consumed by internal applications.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Data Science team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply technical craft to the exciting world of professional sports.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

Job Title: Analytics Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking an Analytics Engineer with 1–3 years of experience to join our Business Intelligence team. This role is designed for a technical problem-solver who enjoys architecting the data logic that powers a championship-winning commercial strategy. Operating 100% on-site at our Sunrise offices, you will collaborate directly with our team in a fast-paced environment to serve as the critical bridge between our technical data architecture and the mathematical frameworks that dictate our business operations. This position is perfect for someone with a strong foundation in SQL and Python, a passion for working with data at scale, and a desire to be at the heart of the action in the sports and entertainment industry.

Key Responsibilities

• Architect and define the core data models and semantic layers within Amazon Redshift to serve as the primary foundation for all organizational reporting and Tableau visualizations.
• Write and maintain high-performance Python and SQL to automate complex data streams, utilizing AWS services to ensure our infrastructure is efficient and scalable.
• Act as a technical consultant to our data analysts, translating business requirements into precise data structures that allow the team to influence departmental strategy.
• Build and implement automated testing and monitoring frameworks to guarantee 100% data integrity before insights reach the executive decision-making table.
• Assist in the containerization and deployment of data workflows using Docker and Prefect, transforming manual or legacy processes into scalable, production-grade solutions.
• Continuously optimize query performance and data warehouse logic to ensure that diverse commercial data streams are unified into fast, revenue-driving insights, while minimizing cost.
• Build and maintain automated deployment pipelines (CI/CD).

Qualifications

Required:

• Bachelor’s degree in Computer Science, Statistics, Data Engineering, Information Systems, or a related technical field.
• 1-3 years of experience in analytics engineering, data engineering, database management, or a similar data-intensive role.
• Advanced proficiency in SQL, with a focus on writing optimized, cost-efficient queries and managing complex logic within Redshift.
• Solid experience using Python for data processing, automation, and interacting with APIs.
• Hands-on experience designing and maintaining production-level ETL/ELT pipelines and data models.
• Familiarity with Tableau, specifically in managing data sources and ensuring a clean, performant semantic layer for end-users.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience with workflow orchestration using Prefect and containerization with Docker.
• Knowledge of cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.).
• Experience working with large-scale datasets for analytics or machine learning initiatives.
• Experience building automated data quality checks and validation layers within an ETL/ELT lifecycle
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Business Intelligence team where creativity and speed are essential. We operate in a structured environment, but our tasks are often open-ended and require someone who learns quickly and is creative with technical solutions. We are looking for a self-starter who thrives in an agile setting and is eager to contribute to the continued success of the Florida Panthers.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become a technical expert for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 5+ years of experience in cloud data engineering. 
• 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 2+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

#LI-BN1

Shift4 is expanding globally and we are seeking a Senior Technical Business Analyst with a Business Intelligence focus to join our Information Technology Group. In this role, you will gather and translate business requirements into actionable insights, ensuring the effective flow of information and data across the organization. You will collaborate with stakeholders to define, validate, and deliver business intelligence (BI) solutions, leveraging strong analytical skills, technical expertise, and communication abilities to support organizational goals. 

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

• Collaborate with stakeholders to understand and translate business needs into clearly defined, documented requirements for bugs, enhancements, and system developments.
• Create and maintain deliverables including vision/scope documents, requirements, mockups, designs, and flow diagrams.
• Manage stakeholder requests using established SDLC practices to maintain accountability and traceability.
• Conduct User Acceptance Testing (UAT) with stakeholders to validate that deliverables meet requirements and customer needs.
• Provide support in creating and tracking project deliverables and work items in the ticket tracking system.
• Contribute to and enforce the adoption of Business Intelligence solutions across teams.
• Support the development of key metrics and shared goals to measure success.
• Ensure BI governance, data accuracy, and effective communication of insights to cross-functional stakeholders.

Qualifications

• 5+ years of experience in business analysis of data movement and business intelligence reports.
• Advanced experience with requirements elicitation, stakeholder management, and solution documentation.
• Proficiency in BI tools such as Tableau and ETL tools.
• Experience with data sources including AWS Redshift, Postgres, SQL Server, Amazon Athena, Excel, and flat files.
• Strong SQL skills (T-SQL, MySQL, PostgreSQL).
• Experience working with large datasets, Enterprise Data Warehouses, and Dimensional Databases.
• Advanced understanding of SDLC processes and experience with Agile frameworks (KANBAN, Scrum).
• Familiarity with Jira and Confluence is a plus.
• Excellent organizational, communication skills (English) and problem-solving skills with the ability to prioritize multiple tasks and adapt to changing priorities.
• Bachelor’s degree in Computer Science, Information Systems, or related field Experience in lieu of a degree may be considered. 
• Certifications in Agile Scrum or PMP are a plus to have.

#LI-BN1

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We're growing fast and hiring the talent team to match.

The Role:

We're hiring a Talent Operations Manager to build and lead the operational engine behind how MaintainX hires. This is a people management role: you'll lead a team of recruiting coordinators, sourcers, and specialists while owning the systems, processes, and data infrastructure that powers 400+ hires per year.

You'll report to the VP of Talent and partner closely with Talent Partners, People Ops, Engineering, and Finance. This isn't a support function. You're building the operating system for a $2.5B company's talent machine.

What you’ll do: 

People Leadership The most important part of this role you're building a team, not just systems.

• Lead 4–5 direct reports (recruiting coordinators, sourcers, ops specialists) across EPD, GTM, and G&A, growing with the company
• Set clear expectations, run 1:1s, deliver direct feedback, and build development plans for every team member
• Elevate the team beyond scheduling into true ops: data analysis, process optimization, systems ownership, and candidate experience
• Own hiring and performance management who to hire, develop, or move on
• Build career paths that retain strong coordinators and sourcers within MaintainX
• Foster a culture of speed, accuracy, and candidate obsession

Talent Operations Strategy & Execution

• Own the ATS (Ashby, migrating from Greenhouse in April 2026) workflows, automations, approval chains, and reporting
• Build real-time analytics dashboards for pipeline health, funnel conversion, time-in-stage, and capacity
• Drive process discipline: 48-hr stage movement, 24-hr interview feedback, structured debriefs define the standards and enforce them
• Partner with Finance on headcount planning, forecasting, and capacity modeling
• Identify and eliminate manual steps through automation; ensure data integrity and compliance across all systems

Tools & Systems Ownership

• Ashby: Own configuration, workflows, reporting, integrations, and team adoption
• Assessment tools: Partner with engineering on HackerRank/CodeSignal integration into Ashby
• Sourcing stack: Manage Juicebox, LinkedIn Recruiter, and emerging AI tools; drive adoption and measure ROI
• Interview intelligence: Evaluate and roll out Brighthire for recording and notetaking
• Cross-functional: Ensure talent systems integrate with IT, Security, and People Ops; maintain compliance

About You:

• 5+ years in talent operations or recruiting operations, with at least 2 years managing a team of coordinators, sourcers, or specialists.
• You've built or significantly improved talent operations at a high-growth tech company (Series C+ or 200+ employees).
• Deep expertise with a modern ATS. Ashby experience is a strong plus. Greenhouse migration experience is relevant.
• Comfortable with data: you build dashboards, define KPIs, and use metrics to drive decisions, not just report on them.
• You've managed recruiting coordinators before and know how to develop them into strong operations professionals.
• You move fast, communicate directly, and don't wait for permission to fix something that's broken.
• Builder mindset: you'd rather create something from scratch than tweak something that doesn't work.

Even Better if You:

• Experience with Ashby specifically, including workflow automation, custom reports, and API integrations.
• Familiarity with capacity modeling and recruiter workload analysis.
• You've led an ATS migration end-to-end (scoping, data migration, template rebuild, training, adoption tracking).
• Experience with technical assessment tools (CodeSignal, HackerRank) and their ATS integrations.
• SQL or BI tool experience for building custom analytics beyond what the ATS provides.

What’s in it for you:

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

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. 

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

Job Title: Staff Software Engineer (AI) 
Locations: Boston, MA; Houston, TX; (ET preferred)
Reports to: VP, AI Engineering  

A quick snapshot… 
As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.   

Why it’s a big deal…  
You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Here’s what we’re looking for… 

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.  

Technical expertise. You have:  

• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Advanced knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.   

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders. 

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.  

Here’s what will give you an edge… 

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles. You’ve gained advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. You also have familiarity with agile methodologies and working in a DevOps model. 

Thought Leadership. You’re passionate about the AI/ML space. You’re a thought leader for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements. 

#LI-BR1

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.

About the Role

We are seeking an exceptional Senior Data Scientist to join our centralized Data organization. In this role, you will be embedded within our consumer and seller experience groups, working closely with cross-functional partners across product, engineering, design, and leadership. You will leverage data to generate deep insights that drive product strategy and create a world-class experience for our users. You'll work with terabytes of data to understand user behavior and directly impact customer satisfaction and business growth.

What You'll Do

• Develop and implement advanced analytics to drive product strategy and enhance the consumer and seller experience.
  
  
• Conduct deep-dive statistical analyses on large datasets to uncover user behavior insights and identify key business opportunities.
  
  
• Partner with product, engineering, and operations teams to identify opportunities to improve the user journey through data-driven insights.
  
  
• Design and execute A/B tests and other experiment types, like multi-armed bandit tests, to measure the impact of product changes and optimize the user experience.
  
  
• Build scalable data pipelines and reporting dashboards to deliver insights to stakeholders.
  
  
• Present findings and strategic recommendations to executive leadership.
  
  
• Contribute to the team and company knowledge base.
  
  

What You'll Need

• Advanced proficiency in SQL for complex data manipulation and analysis.
  
  
• Strong skills in Python for data analysis and visualization.
  
  
• Deep understanding of statistics, A/B testing, and experimental design.
  
  
• Excellent communication skills with the ability to present to executive leadership.
  
  
• Strong business intuition and the ability to translate technical findings into business recommendations.
  
  
• A self-motivated individual with a desire to solve complex, open-ended problems.
  
   
  
  

Education & Experience

Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science.

8+ years of experience in data science, product analytics, or a similar quantitative role.

3+ years of experience in e-commerce, two-sided marketplaces, or consumer-facing products preferred.

What We Offer

• Executive-level visibility with a direct impact on core business metrics.
  
  
• Opportunity to work on high-impact analytics projects that shape product strategy.
  
  
• Hybrid work model: 4 days in office, 1 day remote flexibility.
  
  
• Collaborative culture with cross-functional team integration.
  
  
• A fast-paced, high-growth environment with significant learning opportunities
  
  

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

LI-RO

Data Scientist, Pricing

Location: In office 4 days a week; Ontario, Canada.

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

#LI-KC1

Data Scientist, Pricing

Location: Hyrbrid 4 onsite, 1 remote Seattle WA. 

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).

#LI-RO

#

#LI-KC1

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.

Who You Are

The Project Manager on the Risk & Insurance team is tasked with the end-to-end management of projects that impact our customers and overall team related to Risk & Insurance programs at Justworks. The person in this role will drive cross-functional projects that improve the customer experience on Justworks and keep Customer Success, Sales, and Operations informed on the project details.

The Project Manager is the conduit between the functional team and the rest of the organization: they are expected to understand what each department needs in order to execute initiatives, and to communicate those needs to other members of the project team. They are also expected to advocate for those needs to the project team, to set and manage expectations within each department, and to produce deliverables such as training materials, documentation, presentations, and project updates. Success in this role is not just about project completion - it is also about instilling confidence in the rest of the organization and in reflecting on a project’s outcome for future improvements. 

The person in this role will work closely with the other internal-facing teams within CS, Sales and Operations, as well as Enablement, Legal, Finance, and Product teams as appropriate for each project.

Your Success Profile

What You Will Work On

• Manage end-to-end projects: Own and lead cross-functional projects for Risk & Insurance, especially those with discreet timing, deadlines, and launch timeframes that affect customers and employees. Create and update project plans; conduct recurring status meetings and follow up on action items; drive successful completion of projects that align with the strategic objectives of the org.
• Work with stakeholders to determine necessary processes for internal teams and vendors to successfully execute projects - direct/motivate and manage the project team, delegate responsibilities and tasks, and ensure scope/requirements aligns with deliverables.
• Be the primary point of contact for other teams at Justworks during projects and looping in members of CSO, Sales, Operations, ProdEng, Revenue Operations, Marketing, and Legal as needed
• Keep the R&I team and related stakeholders up to date on the status of projects, key decisions, and any changes as they happen.
• Proactively surface risks to the timing and execution of a project, and propose contingency plans. 
• Lead post-mortems to celebrate wins, identify opportunities for future improvement, and learn from our experiences.
• Schedule and lead project team meetings, steering committee meetings and other ad hoc meetings as necessary to discuss the status of the project and proactively surface issues and risks that impact the timing and execution of a project. Know when to propose changing course or propose contingency plans.
• Perform other related duties as assigned

How You Will Do Your Work

As a Project Manager, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following:

• Detail-oriented - exercises extreme attention to detail; is thorough, accurate, organized, and productive and seeks to understand both the cause and effect of a situation.
• Ethical practice - the ability to integrate core values, integrity and accountability throughout all organizational and business practices.
• Clear communication - the ability to articulate thoughts and express ideas effectively using oral, written, visual and non-verbal communication skills, as well as listening skills to gain understanding.
• Analytical - uses a logical reasoning process to break down and work through a situation or problem to arrive at an outcome.
• Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 3-5 years of professional experience in project management and/or operations role, preferably in the PEO or Insurance space and/or a tech-driven environment
• Strong Writing and Verbal Communication skills
• Experience in tech/SaaS a plus
• Basic Excel and/or SQL knowledge required
• Experience with Confluence, Jira, and/or other project management tools
• Agile, CAPM, or PMP certification preferred

The base wage range for this position based in our Tampa Office is targeted at $101,370.00 to $111,507.00 per year.

#LI-Hybrid #LI-CD1

What You’ll Be Owning:

We are seeking a senior-level Data Scientist to design, develop, and deploy advanced data-driven applications in support of mission-critical environments. The ideal candidate operates independently with minimal oversight, delivers production-grade solutions, and understands how to translate operational requirements into scalable, secure solutions.

This role blends full-stack Python development, geospatial analytics, dashboarding, DevSecOps practices, and familiarity with Intelligence Community (IC) and DoD environments.

What You Must Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications & education can be used in lieu of years of experience)
• Expert-level proficiency in Python and demonstrated experience building scalable, production-ready applications.
• Experience querying and integrating web APIs to retrieve, normalize, and operationalize data.
• Proficiency with at least one Python web framework (Flask, FastAPI, Django, or similar).
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Ability to develop basic web interfaces using HTML, CSS, and JavaScript.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Familiarity with containerization technologies (e.g., Docker) and deploying containerized applications.
• Working knowledge of DevSecOps principles and secure software development practices.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with Activity Based Intelligence (ABI), All-Source, or Multi-INT analysis environments.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

#LI-GM1

Senior Manager, Partner Growth Marketing

Location: Miami 

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Compass is seeking a highly motivated and detail-oriented Director of Research to join our team in South Florida. The role is critical in providing data-driven insights to support strategic decision-making for our owner/developer clients, leadership, and project management teams. The ideal candidate possesses a deep knowledge of the South Florida Market, strong analytical skills, a passion for real estate, and the ability to manage an Analyst - helping to transform raw data from a variety of sources into actionable research for our stakeholders. 

Job Responsibilities:

• Establishing a Strong Point of View
• Possess a deep understanding of real estate submarkets in Miami Dade, Broward, and Palm Beach Counties
• Data Collection and Analysis:
• Gather and analyze data from various public and private sources, including listing feeds, Department of Buildings, Department of Finance, industry publications, other internal data sets, and phone calls to competitive buildings.
• Oversee Analyst, who will assist in maintaining databases for efficient data management for our external facing deliverables and internal CRM processes. 
• Ensure data accuracy and integrity through both manual and automated quality control procedures. 
• Market Research and Competitive Analysis
• Conduct comprehensive market research to identify industry trends, categorize the competitive landscape, and highlight potential opportunities. 
• Analyze competitor strategies, market share, and product offerings to provide insights. 
• Prepare reports and presentations based on these research findings and recommendations. Deliverables will include: Market Reports for Sales and Leasing Comparable Sets, Future Supply (Pipeline Reports), Amenity Studies, Due Diligence Reports, and ad hoc reporting as needed. 
• Reporting and Visualization:
• Create, maintain, and review concise market reports, dashboards, and other deliverables to communicate research findings to stakeholders.
• Develop and maintain key performance indicators (KPI’s) to keep track of market trends and performance. 
• Present research findings to internal teams and senior management. 

Qualifications:

• At least 5 years’ experience in research/analysis in the South Florida market
• Bachelor’s degree in relevant field (Real Estate, Finance, Political Science, Computer Science, Statistics, etc.)
• Proficient technological knowledge of the Microsoft Suite (heavy emphasis on Excel), Google Sheets, Data Transformation, ETL Processes
• Ability to think critically and outside the box to solve problems in a fast-paced environment. 
• Strong written and verbal communication skills. 
• Ability to communicate and present to internal teams and clients on the findings of our research report process, and the feasibility of achieving team or client goals in relation to the competitive market. 

Additional Skills (Nice to Have):

• Advanced Excel experience including Power Query, and DAX.
• Working knowledge of other programming languages (SQL, Python, etc.). 
• Working knowledge of visualization tools (PowerBI, Tableau). 
• Experience with CRM tools (Salesforce, Spark, etc.)

Role Overview

The Director, Demand Generation owns the strategy, execution, and continuous improvement of Upshop’s global demand generation engine. This role is accountable for driving high-quality pipeline through scalable, measurable, and creative demand programs that support Upshop’s growth across grocery and convenience retail markets.

Reporting into the Growth organization, this leader partners closely with Product Marketing, Sales, Revenue Operations, Customer Success, and Partners to translate Upshop’s story into demand, convert interest into pipeline, and optimize performance across the full funnel.

Key Responsibilities

Demand Strategy & Execution

• Own Upshop’s end-to-end demand generation strategy, from awareness through MQL, SQL, and pipeline contribution
• Design, execute, and optimize multi-channel demand programs including digital, ABM, outbound support, events, and partner-led campaigns
• Move beyond templated campaigns—continuously test, iterate, and introduce new ideas when performance stalls
• Translate Upshop’s value proposition into persona-based, industry-specific demand motions

Pipeline & Performance Management

• Establish clear goals and reporting for MQLs, SQLs, pipeline contribution, and conversion rates
• Partner with Revenue Operations to ensure strong attribution, measurement, and visibility into demand performance
• Separate and manage demand goals for new customer acquisition and expansion within existing customers
• Use data and insights to prioritize investments and continuously improve ROI

Systems, Tools & Automation

• Own the demand tech stack and workflows, including marketing automation and CRM integrations
• Leverage tools such as HubSpot, paid media platforms, LinkedIn, and emerging/dark social channels to scale demand efficiently
• Build repeatable, automated programs that learn and improve over time

Cross-Functional Collaboration

• Partner closely with Product Marketing to activate messaging, positioning, and customer reference stories
• Align with Sales and Customer teams to ensure tight MQL/SQL definitions and smooth handoffs
• Collaborate with Partner and Alliances teams to drive partner-sourced and partner-influenced demand

Team Leadership & Growth

• Lead, mentor, and develop a growing demand generation team
• Establish clear priorities, expectations, and accountability across the team
• Build a high-performance culture that balances creativity, rigor, and ownership

Qualifications & Experience

• 8–12+ years of experience in demand generation, growth marketing, or marketing operations, with at least 3+ years in a leadership role
• Proven track record of building and scaling demand programs in B2B SaaS or technology environments
• Strong understanding of marketing automation, campaign architecture, and funnel analytics
• Experience supporting sales-led and ABM motions
• Comfortable operating in environments without heavy process or templates—able to create structure where needed
• Experience in retail, grocery, or multi-location industries is a plus (but not required)

What Success Looks Like

• A clear, scalable demand engine that consistently drives qualified pipeline
• Improved conversion rates and visibility across the funnel
• Strong alignment and trust with Sales, Product Marketing, and Revenue teams
• A motivated, high-performing demand generation team that continues to grow with the business

Why Upshop

Upshop is redefining how retailers operate by connecting demand, supply, and execution at scale. This role offers the opportunity to shape how Upshop takes its story to market, influence growth strategy, and build a demand organization designed for long-term impact—not just short-term campaigns.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Position Title: Instructional Assistant, Data Engineering

Department: National Training Team / Remote Training

Reports To: Manager, Remote Training

Employment Type: Contract

Location: Tampa, FL 

WHO WE ARE

Per Scholas Inc. is a national nonprofit advancing economic mobility for 30 years. Through rigorous technical training, professional development, and strong employer partnerships, we prepare individuals traditionally underrepresented in tech for high-growth careers. With campuses in 17 cities and over 15,000 graduates, we’re building a more diverse and inclusive tech workforce by connecting talent to opportunity.

WHAT YOU WILL DO

As an Instructional Assistant (IA), you are the critical bridge between the Lead Instructor and the learners. You will support the delivery of a rigorous Data Engineering curriculum while ensuring student success through tutoring, grading, and classroom management.

Instructional Support & Tutoring

• Lab Facilitation: actively circulate (virtually or physically) during hands-on labs to help learners troubleshoot code in Python, SQL, and Linux environments.
• Targeted Tutoring: Lead instructor-approved study groups and provide one-on-one tutoring for learners struggling with specific concepts (e.g., ETL pipelines, DataFrames).
• Substitute Teaching: Be prepared to step in and lead a lesson, review session, or proctor an exam in the event of a short-term instructor absence.
• AI Integration: Model the use of Google Gemini to help students debug their own code, ensuring they understand the logic rather than just copying answers.

Learner Management & Administration

• Progress Tracking: Implement individualized study plans for at-risk learners and collaborate with the detailed learner progress reviews.
• Administrative Duties: Take and track daily attendance and enter real-time grades in Salesforce and Canvas.
• Platform Management: Assist in setting up HackerRank assessments and tracking completion of Coursera modules (Google Data Analytics Certificate).
• Classroom Decorum: Enforce and model professional standards, including dress code, punctuality, and respectful communication.
• Equipment: Ensure any classroom or borrowed equipment is used properly and returned/stored (if applicable).

WHAT YOU’LL BRING TO US

Education & Experience (Must meet one of the following)

• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.

Technical Must-Haves

• Python Proficiency: Strong functional knowledge of Python. You must be able to troubleshoot logic errors in Pandas, NumPy, and basic scripts.
• SQL Mastery: Ability to write and explain intermediate queries (Joins, Aggregations, Subqueries) and troubleshoot database connection issues.
• Linux Fundamentals: Comfortable with CLI navigation, file management, and basic permissions.
• AI Adaptability: Proficiency in using Google Gemini (or ChatGPT) as a teaching aid and productivity tool.

Technical Good-to-Haves

• Cloud Exposure: Familiarity with AWS services (S3, RDS) or the AWS Cloud Practitioner certification.
• Visualization: Experience creating dashboards in Tableau or PowerBI.
• Big Data: Conceptual understanding of Apache Spark or Hadoop ecosystems.

TECHNICAL ENVIRONMENT

You will need to support learners on the following platforms and tools:

• Coding: VS Code, Jupyter Notebooks, Google Colab.
• LMS & CRM: Canvas, Salesforce.
• Assessment: HackerRank, Coursera.
• Communication: Zoom, Slack.

PERSONAL CHARACTERISTICS

• Agile: You thrive in a fast-paced environment and can adapt quickly to changes in the schedule or curriculum.
• Proactive: You anticipate student struggles and intervene early before they fall behind.
• Collaborative: You work seamlessly with the Lead Instructor, acting as a unified teaching team.

Mission-Driven: You are passionate about creating access to high-growth tech careers for diverse communities.

The hourly rate for this position is $20/hour 

#LI-Onsite

 Senior Financial Analyst (Restaurant Operations)  (Salary commensurate with experience)

TooJay’s Deli • West Palm Beach, FL

Reports to: CEO (dotted line to CFO)

TooJay’s Restaurant Deli Bakery Restaurant 

A multi-unit restaurant chain with a commissary/bakery, catering, and off-premises operations dedicated to delivering exceptional guest experiences and sustainable growth.

Since 1981 TooJay's New York-style Deli has been a fan favorite. With locations across Florida, we are famous for piled-high sandwiches, hearty portions of homemade comfort foods and made-from-scratch soups, salads, and baked goods. We believe our teams are our most valuable assets. We maintain that commitment by hiring friendly, motivated individuals who make positive contributions to a well-run restaurant. Our teams take pride in creating Simply Great Food and Simply Great Experiences for each guest.

Why this role exists

As a Senior Financial Analyst, you will transform complex operational data from POS,

Restaurant365, online ordering, and bakery/commissary systems into actionable insights. Your analysis will drive sales growth, enhance guest satisfaction, and maximize profit margins across all locations.

Key responsibilities

• Develop and publish weekly store-level reports on sales, traffic, mix, pricing, volume, labor, COGS, variances, and action plans with assigned owners and deadlines.
• Maintain a unified set of KPIs aligned with the P&L; ensure data accuracy and consistency.
• Build rolling 6–8-week forecasts by location, daypart, and channel (dine-in, takeout, delivery, catering).
• Lead menu engineering efforts, analyzing product mix and contribution margins; recommend pricing and portion adjustments with quantifiable impact.
• Set and monitor sales-per-labor-hour (SPLH) targets; evaluate staffing deployment, overtime, and schedule effectiveness.
• Analyze food cost performance versus theoretical models; identify drivers such as recipes, yields, waste, and data entry errors; lead corrective actions.
• Collaborate with the commissary/bakery to optimize yields, batch sizes, and labor efficiency.
• Evaluate throughput and operational capacity, including ticket times, table turns, bottlenecks, and expo flow.
• Measure and optimize promotional and LTO lift, ROI, and operational impact.
• Link online marketplace ratings to labor, training, and product quality; oversee resolution tracking.
• Develop dashboards and metrics for catering, tracking delivery performance, remake/credit rates, and upsell opportunities.
• Build catering funnel and repeat dashboards; track on-time delivery, remake/credit %, attach/upsell rates.
• Administer Ecotrak: Oversee system operations and data entry.
• Maintain Preventive Maintenance Calendars: Schedule and track routine maintenance activities.
• Asset & Warranty Tracking: Monitor asset conditions and warranty expiry dates.
• Cost Management: Analyze and recommend CAPEX (capital expenditures) versus OPEX (operational expenditures) for maintenance.
• Cost Reduction Goals: Drive initiatives to lower R&M costs as a percentage of sales and reduce mean time to repair (MTTR).
• Support restaurant remodels with 4-wall cash flow analysis, payback, and IRR projections.
• Establish dashboards, cadences, SOPs, testing protocols, document operational playbooks.
• Assist in creating sales and profit growth plans for individual stores.

Prepare concise, insight-driven reports and presentations for the CEO and executive team, highlighting risks, opportunities, savings trackers, and next steps.

Qualifications

• 3–6+ years in Finance/Accounting, data analysis, Financial Planning & Analysis, ideally in multi-unit restaurants.
• Proven expertise with Restaurant365 (R365): reporting, recipe costing, food cost modeling, and GL reconciliation is a plus.
• Advanced Excel/Google Sheets skills; working SQL experience; familiarity with BI tools.
• Experience with POS systems, online ordering platforms (DoorDash, Uber Eats), scheduling, and HRIS systems.
• Strong financial acumen with knowledge of contribution margins, flow-through, IRR, and payback analysis.
• Exceptional communicator—able to translate data into clear, actionable recommendations for operators and leadership.
• Empathy for operators and understanding of restaurant operational challenges.

Success metrics

• Forecast error (MAPE) within 5–8% by week/location.
• Reduced COGS variance aligned with targeted basis points.
• Achievement of labor percentage and SPLH goals.
• Menu mix quality improved (share of Stars, item contribution margin).
• Strong ROI on promos, catering repeat rate, and new initiatives.
• On-time, full delivery of reports and executive summaries.

Tools and Systems

Restaurant365, POS & online marketplaces, Excel/Google Sheets, SQL, review platforms, scheduling, HRIS.

What we Offer:

• Medical, Dental, Vision
• Paid Time Off
• Training and career growth opportunities
• Discount on all food including catering

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW

We are seeking a Quality Assurance (QA) professional for manual testing of software. APIs. and Web pages. In this role, you will focus on building and managing Windows and Linux-based virtual environments for testing, ensuring efficient system performance. The ideal candidate will be adept at managing Hyper-V infrastructure.

The Quality Assurance Tester will be responsible for, but not limited to:

• Manage and configure virtual environments within Hyper-V for QA testing purposes.
• Develop and maintain test environments, ensuring that they replicate real-world scenarios and are stable for testing.
• Troubleshoot and resolve issues related to the environment, applications, and performance in collaboration with cross-functional teams.
• Document system configurations, procedures, and troubleshooting techniques.
• Collaborate with QA teams to design, implement, and maintain test environments that simulate production systems.
• The role will be based in Orlando, FL and is an in-office position.

QUALIFICATIONS

• Experience with manual software testing, including testing of web applications and APIs.
• Knowledge of security testing principles and practices.
• Proficiency working across Mac, Linux, and Windows operating systems.
• Experience with networking concepts and identity platforms such as Microsoft Entra, Azure, and Active Directory.
• Experience testing billing systems and invoicing workflows.
• Working knowledge of SQL and database testing.
• Experience with Hyper-V virtualization platforms and managing virtualized environments.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

PRODUCT KNOWLEDGE 

• You must learn the ThreatLocker products, features, and use cases. 
• Proficiency in configuring and using ThreatLocker products. 
• Stay updated on product updates and actively participate in training.

WORKING CONDITIONS

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW

ThreatLocker is seeking a highly analytical and proactive Data Analyst to transform agent telemetry and platform data into actionable intelligence. This role will focus on analyzing ThreatLocker agent logs, identifying trends and anomalies, detecting potential issues before customers report them, and delivering insights to both the Development and Solutions Engineering teams.

This is not a passive reporting role. We are looking for someone who actively uncovers patterns, predicts problems, and influences product and customer outcomes through data.

The role will be based in Orlando, FL and is an in-office position.

JOB SCOPE: 

Data Analysis & Reporting

• Run recurring and ad-hoc reports on ThreatLocker agent performance, telemetry, and system data.
• Analyze large datasets from agent logs to identify patterns, anomalies, and emerging trends.
• Develop dashboards and reporting frameworks that provide visibility into product health and usage trends.
• Automate data extraction and reporting processes where possible.

Proactive Issue Detection

• Identify potential product issues before they are reported by customers.
• Detect abnormal behavior patterns across environments, versions, or configurations.
• Monitor adoption, performance, and stability trends across the ThreatLocker ecosystem.
• Escalate critical findings with clear, data-backed summaries.

Development Team Support

• Provide actionable insights to the Dev team on:

• Performance degradation trends
• Agent-related anomalies
• Feature usage data
• Environment-specific issues

• Work closely with Engineering to validate hypotheses and investigate root causes.
• Assist in defining KPIs for product stability and performance.

Solutions Engineering (SE) Support

• Analyze customer usage patterns and identify optimization opportunities.
• Recommend configuration or deployment changes that can improve customer outcomes.
• Provide data-driven guidance to help SE teams support enterprise clients.
• Create insights that enable proactive outreach to at-risk or under-optimized customers.

Trend & Insight Communication

• Present findings clearly to technical stakeholders.
• Produce concise executive-level summaries when needed.
• Translate raw telemetry data into business-impact insights.

REQUIRED QUALIFICATIONS 

• 2 – 5 years of experience in a Data Analyst or similar analytical role.
• Strong SQL skills (preferred).
• Experience working with large datasets and log-based data.
• Proficiency in data visualization tools (Power BI, Tableau, Looker, or similar).
• Strong Excel skills.
• Experience working with structured and semi-structured data (JSON, log files, etc.).
• Ability to identify patterns and anomalies in complex systems.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain technical findings clearly. 

Preferred Qualifications 

• Experience in cybersecurity, endpoint security, SaaS, or IT systems.
• Familiarity with telemetry analysis or agent-based platforms.
• Experience with Python, R, or similar tools for data analysis.
• Experience building automated alerting or anomaly detection models.
• Understanding of both the product and product analytics and customer health metrics.

WORKING CONDITIONS: 

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed. 

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus. 

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW

ThreatLocker’s Full Stack Developers support in the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but not limited to:

• Guide the technical direction and implementation of product requests into large-scale end to end solutions 
• Collaborate with the product, QA, and other developers to release robust code that satisfies client expectations and feature criteria. 
• Ship well-tested, maintainable, reliable and secure code that keeps the user’s best interest in mind. 
• Help fix bugs, defects, poor feature implementation, and production issues as they occur. 
• Conduct code reviews, write maintainable documentation, and implement complex bug fixes with security and a Zero Trust mentality in mind. 
• Mentor their fellow developers, grow their skills, and improve as a team by sharing expertise. 
• The role will be based in Orlando, FL and is an in-office position.

REQUIRED QUALIFICATIONS

• 5+ years of industry experience working as a Full Stack Developer
• Experience building and integrating REST APIs with .NET Framework 
• Experience with SQL, creating and maintaining indexes, stored procedures and tables 
• Specialization in JavaScript, HTML, and CSS with modern JavaScript frameworks (React, Angular or Vue) 
• Proven history with server-side software development and front-end architecture 
• Experience working with other Software Developers on new products as they are designed 
• Proficient writing and maintaining feature documentation and conducting code reviews
• Highly analytical with ability to propose new ideas and designs 
• Strong written and verbal communication skills 

PREFERRED QUALIFICATIONS IN

• Experience with .NET Core 6 or 8 
• Experience with Angular 14+, working with Standalone Components, Signals, and Built-in Control Flow 
• Good understanding of CSS Preprocessors (SASS, LESS, etc)
• Experience with modern testing frameworks (Jest, Cypress, Mocha, Chai) 
• Familiarity with A/B Testing
• Experience working with Docker 

WORKING CONDITIONS

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

COMPANY OVERVIEW 

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities. 

POSITION OVERVIEW 

ThreatLocker’s Angular Developers support the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but not limited to: 

• Guide the technical direction and implementation of product requests into large-scale Angular solutions 
• Collaborate with the product, QA, and other developers to release robust code that satisfies client expectations and feature criteria. 
• Ship well-tested, maintainable, reliable and secure code that keeps the user’s best interest in mind. 
• Help fix bugs, defects, poor feature implementation, and production issues as they occur. 
• Conduct code reviews, write maintainable documentation, and implement complex bug fixes with security and a Zero Trust mentality in mind. 
• Mentor their fellow developers, grow their skills, and improve as a team by sharing expertise. 
• The role will be based in Orlando, FL and is an in-office position.

REQUIRED QUALIFICATIONS 

• 5+ years of industry experience working as an Angular Developer 
• Specialization in Angular 14+, CSS Preprocessors (SASS, LESS, etc) and Angular Component Libraries (PrimeNG, Material, etc) 
• Deep understanding of rxjs, Angular services and the Component lifecycle 
• Proven history understanding front-end architecture and implementation of large data 
• Experienced working with Backend Developers on new products as they are designed 
• Proficient writing and maintaining feature documentation and conducting code reviews 
• Highly analytical with ability to propose new ideas and designs 
• Strong written and verbal communication skills 

PREFERRED QUALIFICATIONS 

• Experience with Angular 16+, working with Standalone Components, Signals, and Built-in Control Flow 
• History with upgrading Angular application versions 
• Familiarity with .NET 6+ and SQL Server (T-SQL) 
• Experience with modern testing frameworks (Jest, Cypress, etc) 
• Experience working with Docker 

WORKING CONDITIONS 

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed. 

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations. 
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools. 
• Must occasionally lift and/or move up to 25 pounds. 
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus. 

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

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

WHAT WE DO

Our AI and Technology 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:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

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

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

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