The Opportunity

As a Capital Credit Manager, Underwriting and Portfolio Management, you will be a core member of Flexport Capital’s credit team, managing a large book of 40–60+ accounts spanning SMB, mid-market and enterprise borrowers. You will independently underwrite IF, LF, Term Loan and ABL deals. You will help drive the management of distressed credits and workouts, design policies and SOPs for new products, as well as architect the analytical frameworks that drive portfolio monitoring. This is a hands-on role where you own the full credit lifecycle, from underwriting through ongoing portfolio monitoring and client communication. You’ll help drive process improvements, and contribute to our risk scoring model development, all while building deeper expertise in Flexport’s freight, fulfillment and customs operations.

You Will

• Own a Large, Complex Portfolio: Manage 40–60+ accounts with topline revenues up to ~$75M and credit limits up to $5M. You will handle accounts across the CRR spectrum, including credits showing early signs of distress that require proactive intervention and creative deal restructuring.
• Underwrite Deals Independently: Handle IF/LF, Term Loan and ABL underwriting end- to-end. Design covenants, milestone-based step-ups, and restructure proposed deals to match credit’s risk appetite.
• Resolve Complex Credit Problems: Interpret ambiguous financials, seasonal revenue swings, multi-entity structures, improving-but-weak trajectories, and exercise judgment in recommending policy exceptions with clear risk/reward framing. Identify when a deal structure won’t work and reconstruct it proactively before it reaches the Investment Committee.
• Lead Client Diligence & Communication: Run diligence calls with CFOs and controllers of SMB and smaller mid-market companies. Push back on BD submissions with data and facts. Present credit recommendations to the Investment Committee with guidance from the Head of Credit. Own the end-to-end credit relationship with your clients.
• Drive Process Improvements: Develop systematic improvements to credit operations —redesigning BD and UW workflows to reduce friction, establishing lien filing optimization, and creating monitoring spot-check systems. Lead projects beyond individual account management that make the entire team more effective.
• Contribute to Credit Analytics & CRR Development: Contribute to CRR model development including financial ratio calibration and risk weight tuning. Design and maintain portfolio monitoring dashboards, and help build automations for repetitive credit operations.
• Manage Compliance & Lien Operations: Independently manage UCC filings, amendments, and lien perfection across US and international jurisdictions. Lead quarterly lien audit and security review processes. Ensure portfolio-wide compliance with BlackRock facility covenants and eligibility criteria, and drive expansion of secured coverage.

You Should Have

• 5–7 years of experience in commercial lending, credit risk, or portfolio management. Trade finance, working capital, or inventory financing experience is highly preferred.
• Independent Underwriting Capability: You can independently underwrite IF/LF and Term Loan facilities end-to-end. You understand advance rates, covenant design, borrowing base fundamentals, lien priority, and UCC filing procedures. Proficiency in ABL fundamentals is a strong plus.
• Credit Judgment & Problem Solving: Demonstrated ability to interpret ambiguous financials, recommend policy exceptions with clear risk/reward framing, and proactively restructure deals that don’t make credit sense. You don’t just flag problems—you come with solutions.
• CRR & Risk Model Awareness: You understand why automated credit risk rating outputs sometimes diverge from qualitative reality and can propose specific recalibration adjustments such as financial ratio breakdowns and chart tuning.
• Client-Facing Confidence: Comfortable leading diligence calls with CFOs and controllers, pushing back on BD submissions with data, and presenting credit recommendations to the Investment Committee.
• Technical & Analytical Skills: SQL proficiency (complex queries, analytical views). Python for analysis scripts, financial modeling, and portfolio reporting is a strong plus. Experience with Looker, GSheets dashboards, or automation tools (Parabola, Airtable, n8n) preferred.
• Mentorship & Collaboration: Proven ability to guide junior analysts on credit approach and technical questions. You are a team player who makes colleagues better and can coordinate effectively with Legal, BD, and Operations.
• Education: Bachelor’s degree in Finance, Business, Economics, or a related field. MBA, CFA, or FRM is a plus.

The Opportunity:

 As a Senior Credit Analyst, Portfolio Analytics, you will play a pivotal role in Flexport Capital’s portfolio management strategy. This is a hybrid role sitting at the intersection of hands-on credit stewardship and data-driven innovation. You won't just analyze high-level trends; you will actively manage the monthly financial review process, lead diligence on flagged accounts, and own the operational compliance stack. You will be the first line of defense in monitoring portfolio health while simultaneously building the tools and dashboards that make that monitoring scalable.

You Will:

• Lead Portfolio Reviews & Diligence: Manage the monthly financial review process for the entire customer base. You will direct Associate support for data gathering, but you will be responsible for the analysis, knowing exactly what red flags to look for in financial statements.
• Conduct Active Risk Management: Identify deteriorating credits or anomalies and immediately trigger deeper reviews. You will prepare for and lead diligence calls with borrowers to investigate issues and determine necessary actions.
• Prepare Credit Modifications: Evaluate requests from Business Development for line increases, term adjustments, or other modifications. You will be responsible for writing the loan modification templates/memos and providing the credit diligence and justification for your recommendations.
• Own Compliance & Operations: oversee and improve our KYB/KYC, UCC lien filing, and lien management processes. You will ensure strict compliance and proactively suggest new vendors, products, or process improvements to streamline operations.
• Build & Maintain Analytics: Design portfolio monitoring dashboards that aggregate credit, collateral, and operational data. You will continue to use tools (SQL, Python, Looker) to automate data ingestion and anomaly detection.
• Analyze Trends: Monitor borrower and portfolio trends—including CRR migration, LGD, DSO, and exposure concentration—to inform repricing or mitigation strategies.
• Drive Process Improvement: Continuously improve internal reporting and data quality, ensuring our tools serve as a reliable "single pane of glass" for portfolio risk visibility. You will use the available low-code and analytical tools (using SQL, Python, Airtable, Looker, or Power Automate) to automate data ingestion, anomaly detection, and risk flag generation.

You Should Have:

• 3–7 years of experience in commercial lending, credit risk, or portfolio management (Asset-Based Lending or Working Capital experience is highly preferred).
• Hands-on Credit Experience: You have experience manually reviewing financial statements, identifying risk factors, and writing credit memos or loan modification justifications. You are comfortable getting on the phone with a CFO to ask hard questions.
• Operational Knowledge: Familiarity with the mechanics of lending operations, including KYB/KYC regulations, UCC lien perfection, and compliance management.
• Technical Proficiency: Proven experience leveraging data analytics tools (SQL, Power BI, Tableau, Looker) to analyze portfolios.
• Low-Code/Automation Skills: Working knowledge of tools like Power Automate, Airtable, or Zapier to build scalable processes is a strong plus.
• Communication Skills: Excellent verbal and written communication skills to articulate credit rationale to the Risk Committee and partner effectively with BD and Ops.
• Education: Bachelor’s degree in Finance, Business, Data Analytics, or a related field (MBA or CFA is a plus).

 Why Flexport:

You’ll be joining Flexport Capital, a high-velocity fintech unit operating with the agility of a startup and the data advantage of a global logistics leader. This is a hands-on environment for builders, not just observers. You won’t just monitor algorithms, you’ll be in the trenches of deal structuring, operational compliance, and borrower diligence, actively shaping how we lend and recover. You will play a direct role in fusing traditional credit discipline with next-gen analytics, driving our mission to scale asset-based lending while keeping losses under 1.5%. If you’re ready to roll up your sleeves and own the outcome, you belong here.

The Opportunity

Flexport is building the future of global fulfillment—and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.

You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on—whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.

If you want to make a lasting impact by building something from the ground up—and have the technical, operational, and strategic chops to do it—this is the role for you.

What You’ll Do

Architect the Future of Fulfillment

• Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.
• Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.

Build, Not Just Manage

• Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Develop tooling, dashboards, and models directly—leveraging SQL, Python, BI platforms, and workflow automation.

Leverage Data for Strategic Planning

• Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Build forecasting and scenario planning models to guide long-term network design and capacity planning.

Be a Cross-Functional Force Multiplier

• Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translate operational pain points into product requirements and ensure adoption of new tools and processes.

Standardize the Network

• Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Drive governance and accountability around execution, ensuring every site runs on the same playbook.

Drive Strategic Initiatives at Scale

• Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Develop and execute multi-year roadmaps in partnership with senior leadership.

You Should Have

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy—ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why This Role is Different

This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process—you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

You’ll have the mandate to experiment, prototype, and standardize at scale—and the support of a leadership team that knows the success of this role will shape the future of Flexport Fulfillment.

The Opportunity:

 As a Senior Credit Analyst, Portfolio Analytics, you will play a pivotal role in Flexport Capital’s portfolio management strategy. This is a hybrid role sitting at the intersection of hands-on credit stewardship and data-driven innovation. You won't just analyze high-level trends; you will actively manage the monthly financial review process, lead diligence on flagged accounts, and own the operational compliance stack. You will be the first line of defense in monitoring portfolio health while simultaneously building the tools and dashboards that make that monitoring scalable.

You Will:

• Lead Portfolio Reviews & Diligence: Manage the monthly financial review process for the entire customer base. You will direct Associate support for data gathering, but you will be responsible for the analysis, knowing exactly what red flags to look for in financial statements.
• Conduct Active Risk Management: Identify deteriorating credits or anomalies and immediately trigger deeper reviews. You will prepare for and lead diligence calls with borrowers to investigate issues and determine necessary actions.
• Prepare Credit Modifications: Evaluate requests from Business Development for line increases, term adjustments, or other modifications. You will be responsible for writing the loan modification templates/memos and providing the credit diligence and justification for your recommendations.
• Own Compliance & Operations: oversee and improve our KYB/KYC, UCC lien filing, and lien management processes. You will ensure strict compliance and proactively suggest new vendors, products, or process improvements to streamline operations.
• Build & Maintain Analytics: Design portfolio monitoring dashboards that aggregate credit, collateral, and operational data. You will continue to use tools (SQL, Python, Looker) to automate data ingestion and anomaly detection.
• Analyze Trends: Monitor borrower and portfolio trends—including CRR migration, LGD, DSO, and exposure concentration—to inform repricing or mitigation strategies.
• Drive Process Improvement: Continuously improve internal reporting and data quality, ensuring our tools serve as a reliable "single pane of glass" for portfolio risk visibility. You will use the available low-code and analytical tools (using SQL, Python, Airtable, Looker, or Power Automate) to automate data ingestion, anomaly detection, and risk flag generation.

You Should Have:

• 3–7 years of experience in commercial lending, credit risk, or portfolio management (Asset-Based Lending or Working Capital experience is highly preferred).
• Hands-on Credit Experience: You have experience manually reviewing financial statements, identifying risk factors, and writing credit memos or loan modification justifications. You are comfortable getting on the phone with a CFO to ask hard questions.
• Operational Knowledge: Familiarity with the mechanics of lending operations, including KYB/KYC regulations, UCC lien perfection, and compliance management.
• Technical Proficiency: Proven experience leveraging data analytics tools (SQL, Power BI, Tableau, Looker) to analyze portfolios.
• Low-Code/Automation Skills: Working knowledge of tools like Power Automate, Airtable, or Zapier to build scalable processes is a strong plus.
• Communication Skills: Excellent verbal and written communication skills to articulate credit rationale to the Risk Committee and partner effectively with BD and Ops.
• Education: Bachelor’s degree in Finance, Business, Data Analytics, or a related field (MBA or CFA is a plus).

 Why Flexport:

You’ll be joining Flexport Capital, a high-velocity fintech unit operating with the agility of a startup and the data advantage of a global logistics leader. This is a hands-on environment for builders, not just observers. You won’t just monitor algorithms, you’ll be in the trenches of deal structuring, operational compliance, and borrower diligence, actively shaping how we lend and recover. You will play a direct role in fusing traditional credit discipline with next-gen analytics, driving our mission to scale asset-based lending while keeping losses under 1.5%. If you’re ready to roll up your sleeves and own the outcome, you belong here.

Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and applying data modeling techniques to support reliable data ingestion and exports. In this role you will collaborate with technology and business stakeholders to deliver data solutions that meet user needs. The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production.
• 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries).
• Experience with Microsoft SQL Server (preferred) or other relational databases, including query optimization and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Experience building data pipelines that are scalable and reliable, with attention to data quality, testing, and operational support.
• Experience contributing to data lake or lakehouse solutions to support analytics and downstream consumption.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

.Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in Vancouver, BC

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Summer Internship – IT & Data Analytics Intern (AI/ML Focus) 

Location:                      Irving, TX (On-Site) 
Department:                 Meriton IT & Data Analytics 
Internship Type:          Summer Internship (Full‑Time) 
Reports To:                  Hiring Manager – Meriton Technology & Analytics 

 If you’re looking to make an impact, we’re glad you’re here. At Meriton, you’ll join a team that believes in big ideas, doing great work, and building careers that matter—every step of the way. 

About the Role 

Meriton is seeking a highly motivated IT & Data Analytics Intern with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. This role is ideal for students who enjoy problem‑solving, exploring emerging technologies, and applying analytics to drive insights and operational excellence. 

You’ll work closely with the Meriton technology team to support internal analytics, automation projects, and AI‑driven initiatives that enhance business decision‑making and improve efficiency. 

Key Responsibilities 

AI & Data Analytics 

• Assist in building and evaluating machine learning models, including data preprocessing, feature engineering, and model validation. 

• Use tools such as Cursor, Claude Code, AI Foundry, and similar AI development platforms to prototype automation and analytics solutions. 

• Conduct exploratory data analysis (EDA) on structured and unstructured datasets. 

• Support the creation of dashboards, reports, and visualizations for business stakeholders. 

• Research and recommend AI use cases that align with team strategy and business needs. 

IT & Technical Support 

• Collaborate with IT partners to streamline workflows through scripts, automation, and analytics. 

• Troubleshoot data, system, or integration issues as needed. 

• Document technical processes, workflows, and best practices. 

AI Product & Tooling Initiatives 

• Experiment with generative AI tools to assist with:  

• Query generation 

• Code generation & refactoring 

• Data pipeline development 

• Business insights summarization 

• Workflow automation 

• Partner with team members to test, evaluate, and implement AI‑powered solutions. 

Required Qualifications 

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related fields. 

• Foundational coursework or hands‑on experience in:  

• Artificial Intelligence / Machine Learning 

• Data Science methodologies 

• Python, R, SQL, or similar languages 

• Comfortable working with modern AI coding tools such as:  

• Cursor (AI coding environment) 

• Claude Code / Claude AI 

• AI Foundry or other LLM ops platforms 

• Strong analytical thinking, problem‑solving abilities, and attention to detail. 

• Eagerness to learn, experiment, and adopt emerging technologies. 

Preferred Qualifications 

• Experience with:  

• Jupyter Notebooks 

• Pandas, NumPy, Scikit‑Learn, PyTorch or TensorFlow 

• Git / version control 

• Power BI or Tableau 

• Familiarity with API calls, cloud platforms, or DevOps automation. 

• Prior hands‑on project work involving AI agents, ML modeling, or generative AI use cases. 

Meriton is an equal opportunity employer

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

Company Overview

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

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

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

Data & Analytics

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

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

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

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

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

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

#LI-BS1

We are 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

Title: Actuarial Data Scientist

Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)

Reporting to: Director, Actuarial

Open to Relocation? We’ve Got You Covered: 

This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here.

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About This Role:

We’re hiring an Actuarial Data Scientist to lead loss cost modeling for Hippo's Homeowners program. This role will own the design, development, and deployment of predictive models for frequency and severity, ensuring strong alignment with pricing strategy and business objectives. You'll build and scale Python-and SQL-based tooling that embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows. In addition to leading loss cost modeling, you'll have the opportunity to expand the team's modeling capabilities across the demand and aggregation models to inform broader pricing and business mix decisions. 

About You:

You are a hands-on leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.

What You’ll Do:

• Lead a homeowners insurance modeling, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement 
• Own the design and annual build of our by-peril loss models
• Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance 
• Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
• Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
• Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment

Must Haves:

• Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
• 5+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
• Strong experience with loss cost modeling; exposure to demand, underwriting, and/or claims modeling
• Knowledge of actuarial principles as they relate to insurance pricing
• Advanced proficiency in Python and SQL
• Excellent communication skills and ability to build trust with stakeholders at all levels

Nice to Haves:

• Actuarial credentials - ACAS/FCAS
• Master’s degree in a quantitative discipline
• Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)

The base pay range for this role is $145,000- $160,000 for our Texas (Austin and Dallas regions). The SF Bay Area (and New Jersey) base pay range for this role is $155,000- $180,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations
• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Role: Pricing Actuary   

Location:  San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Hybrid) 

Reports To: Senior Manager, Pricing Actuary 

Open to Relocation? We’ve Got You Covered: 

This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here. 

About Hippo:  

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.  

About the Role:   

We are seeking a detail-oriented, analytical actuary to help scale our actuarial toolkit and drive pricing and product analytics for a fast-changing book of business. You’ll apply core actuarial principles in creative, forward-looking ways as part of a small, high-impact pricing team with broad organizational visibility and regular interaction with senior leaders and executives.

About You:  

You are creative, collaborative, and self-motivated, with a passion for innovation. You thrive in a fast-paced startup environment, leveraging abundant growth opportunities and accessible self-service data to develop innovative pricing solutions. Your technical approach and comfort with Python and other coding languages will enable you to contribute to and enhance our actuarial data pipelines and toolkit. You excel in navigating uncertainty and change, making informed decisions even when data is imperfect. Your ability to communicate complex technical concepts to non-technical stakeholders is a key strength.  

What You’ll Do:  

• Lead the analysis and execution of state-level rate changes and new program launches from end-to-end
• Collaborate with Underwriting & Product Management to influence business decisions around profit and growth levers 
• Conduct regular actuarial indications and profitability studies to evaluate rate adequacy, identify growth opportunities, and inform pricing strategy 
• Provide support for loss cost model selection, scoring, calibration, and reporting
• Build raters and rate proposals in Python to ensure technical rate and model delivery 
• Develop new tools for the pricing team, contributing to the continuous improvement of our product development lifecycle 
• Cultivate proactive relationships with underwriting, legal, finance, risk and reinsurance, and agency to translate analytics into visible and actionable work 

Must Haves:  

• Minimum of 5 years of actuarial pricing experience in Homeowners or related P&C insurance lines
• Actuarial credentials: FCAS or near-FCAS 
• Strong knowledge of actuarial and insurance concepts such as loss cost trends, rate indications, loss cost modeling, reserving, and other key metrics 
• Professional coding experience using SQL and Python (or other language) for data manipulation and analysis, with opportunities to further develop these skills on the job 
• Experience using output of predictive models 
• Strong business acumen, linking analysis to business impact 
• Excellent communication and project management skills  

Nice to Haves:   

• Homeowners-specific pricing experience with predictive modeling and catastrophe modeling
• Experience designing new program launches and rating plans
• Comfort reading and writing Python packages and working with user-defined class structures 
• Experience with git or version control tools   
• Awareness of industry trends in Homeowners insurance and pricing ethics 

Benefits and Perks

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with:

• Relocation Assistance – Support available for qualified candidates relocating to one of our hub locations 
• Healthy Hippos Benefits - Multiple medical plan options, 100% covered dental and vision for you and your family, and a wellness program that rewards healthy habits. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP)
• Equity - This position is eligible for equity compensation 
• Training and Career Growth - Training and internal career growth opportunities
• Flexible Time Off - You know when and how you should recharge
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers
• Hippo Habitat - Snacks and drinks available for onsite employees 

The Morristown, NJ and San Francisco Bay Area base pay range for this role is $155,000 - $195,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. 

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

THE ROLE

As a Senior Network Engineer, you will be a founding technical pillar for our new Plano, Texas data center, bridging the gap between hardware engineering and software-driven automation. You will design and deploy high-performance spine-leaf fabrics that serve as the backbone for Pure’s global R&D, ensuring our engineering teams have the deterministic capacity they need to innovate. Collaborating across Infrastructure Engineering, you’ll transform complex networking requirements into automated, self-healing services that power the future of data storage.

WHAT YOU'LL DO

• Architect & Deploy Next-Gen Fabrics: Own the end-to-end design and implementation of Clos spine–leaf data center fabrics (BGP EVPN/VXLAN) and VRF-based segmentation to provide secure, scalable connectivity for Plano and our global R&D sites.

• Drive Infrastructure as Code: Develop and maintain automated workflows using Ansible, Python, and ZTP to standardize configuration templates, integrating network provisioning directly into compute and PDU commissioning workflows.

• Support the Plano Launch & Migration: Act as the onsite technical lead for the Texas facility buildout, coordinating with Hardware and Logistics teams to oversee rack/pod turn-ups, structured cabling verification, and the seamless migration of tenant testbeds.

• Elevate Observability & Reliability: Optimize network health by onboarding devices into NMS/flow tools and managing the full lifecycle of L2/L3 incidents to ensure 24/7 operational reliability for engineering customers.

• Technical Mentorship & Governance: Serve as a senior resource for NetDevOps practices, mentoring junior engineers and defining the documentation standards (runbooks and topologies) that will govern our global network operations.

• We are primarily an in-office environment and therefore, you will be expected to work from the Dallas, Texas office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Data Center Engineering Expertise: Deep technical command of L1-L3 networking (OSPF, BGP, EVPN/VXLAN, IPv4/IPv6) and hands-on experience operating major switching platforms like Arista, Cisco, or Juniper.

• NetDevOps & Automation Toolkit: Proven ability to manage infrastructure through code, utilizing Linux proficiency and scripting (Python/Shell) to build Ansible-driven deployment and monitoring solutions.

• Security & Service Integration: Extensive experience configuring data center firewalls, load balancers, and network zones to maintain robust security postures across complex lab and production environments.

• Strategic Problem Solving: A track record of leading scoped technical workstreams independently—from initial design and capacity planning to incident response and high-stakes data center migrations.

Ways of Working

• Location: Dallas, Texas area. You will start remotely while the office space is being built out, with an expectation of regular on-site work at the Plano data center for deployments and incident response once active.

• Schedule: Standard US business hours with flexibility for global collaboration; participation in an on-call rotation and maintenance windows is required to support 24/7 operations.

• Travel: Occasional travel to other Pure data centers (e.g., Utah, California) for planning sessions and team on-sites.

  #LI-ONSITE

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

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

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

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

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. 

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

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

#LI-HA1

Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As an Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Senior Manager in the OFCTO organization. 

What you’ll be doing 

1. Strategic Customer Engagement:
• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
• Develop customer-centric points of view that translate Okta’s solutions to customer problems.
• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.
• Deliver compelling, customized demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.
• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.
• Maintain a broad and deep technical understanding of the Okta identity product lines and the underlying technologies and protocols
• Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders
2. Technical Leadership:
• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.
3. Field Enablement and Collaboration:
• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
• Partner with sales leadership to identify and address critical business opportunities and challenges.
• Drive cross-functional collaboration to ensure seamless execution of global initiatives.
• Innovate in tools and techniques to drive excellence and momentum
• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.
4. Market Influence:
• Represent Okta as a thought leader in the identity and security space.
• Influence industry standards and participate in relevant technical advisory boards.
5. Innovation and Strategy:
• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.
• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.
• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.
• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.
• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.
• Identity Threat Detection & Response (ITDR)
• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.
• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.
• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Hands-on experience with Okta's Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).
• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.
• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

#LI-Remote

SSP4CM

P212832

JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

About the Role

The Network Security Engineer will join the US Solutions Delivery team, specializing in Cisco Identity Services Engine (ISE) and Network Access Control (NAC) deployments across enterprise customer environments. This is a hands-on, delivery-focused role centered on designing, implementing, and troubleshooting Cisco ISE-based NAC solutions including 802.1X, MAB, posture assessment, profiling, and guest services. The engineer also supports Cisco firewall platforms (ASA and FTD/NGFW) as a secondary discipline. The role owns assigned workstreams end-to-end — from lab validation through production cutovers — and works closely with architects, project managers, and customer stakeholders. 

Key Responsibilities

Cisco ISE / NAC Deployment & Operations  

• Design, deploy, and configure Cisco ISE for 802.1X wired/wireless, MAB, and CWA; manage policy sets, authentication/authorization, profiling, posture, and guest workflows end-to-end 
• Integrate ISE with Active Directory, LDAP, PKI/CA, and MFA; manage distributed ISE deployments (PAN, PSN, MnT) with HA and scalability; deploy RADIUS/TACACS+ for network device administration 
• Configure endpoint compliance/posture modules (AV, patch, OS); manage guest, sponsor portals, and BYOD onboarding; support TrustSec (SGT/SXP) segmentation 
• Troubleshoot RADIUS failures, authentication timeouts, profiling inconsistencies, and policy mismatches with root cause analysis 

Cisco Firewall Deployment & Operations: 

• Design, implement, and configure Cisco FTD and ASA firewalls, including HA setups and scalable architectures 
• Manage and optimize access control rules, NAT, security zones, and NGFW features IPS/IDS, URL filtering, Malware Policy, SSL decryption, and VPN (SSL/IPSec) 
• Troubleshoot firewall and VPN connectivity issues including NAT, routing, SSL/IPSec VPN failures, and policy-related problems 

Execution & Coordination 

• Collaborate with architects, senior engineers, and project managers to ensure accurate, timely solution delivery, while actively participating in project discussions to understand requirements, scope, and deployment sequencing 
• Take end-to-end ownership of assigned tasks, including escalation, root cause analysis (RCA), and issue resolution  

Documentation & Continuous Improvement 

• Create and maintain comprehensive documentation including ISE policy matrices, network access diagrams, RADIUS/TACACS inventories, and operational runbooks 
• Document firewall rules, VPN inventories, NAT tables, and change records for audit and compliance purposes 
• Stay current on Cisco ISE releases, NAC trends, Zero Trust Network Access (ZTNA), and SASE architectures, applying new learnings to delivery work 

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field 
• 3–5 years of cybersecurity experience with a strong focus on NAC and identity-based access control; 3+ years hands-on with Cisco ISE or similar NAC solutions (e.g., FortiNAC, Aruba ClearPass) 
• Strong knowledge of 802.1X (EAP-TLS, PEAP, TEAP), certificate-based authentication, and integrations with AD, LDAP, PKI, and RADIUS/TACACS+ 
• 3+ years of hands-on experience with Cisco ASA/FTD firewalls (NGFW, VPN, NAT) or equivalent experience with third-party firewalls (Palo Alto, Fortinet, Check Point) 
• Solid understanding of networking fundamentals: TCP/IP, DNS, DHCP, VLANs, trunking, and routing/switching 
• Experience with Cisco Catalyst/Nexus switches for NAC enforcement (802.1X, MAB) 
• Willingness to travel across the U.S. to support deployments 

Preferred Qualifications

• CCNP Security or equivalent certification (ISE/NAC specialization preferred); CISSP, GIAC, or other security certifications a plus 
• Experience with TrustSec/SGT/SXP, DUO MFA/ZTNA integration, Cisco Umbrella, and Cisco XDR 
• Familiarity with SASE/Zero Trust architectures and security automation (Python, Ansible, APIs) 
• Knowledge of compliance frameworks (PCI-DSS, HIPAA, SOC 2, NIST); prior consulting or professional services experience preferred. 

Salary Range 

$65,000 - $110,000 USD + Benefits 

This is a full-time position with Gruve and is based onsite at our Edison, New Jersey office & Plano, Dallas Office. Please note that Gruve does not provide visa sponsorship for this role; candidates must be U.S. citizens.

‍

About the Role

Gruve is seeking a highly skilled Senior Data Center Network Architect with 5+ years of experience designing, implementing, and optimizing modern data center networks supporting AI workloads. This is a deeply technical, customer-facing role aligned with Gruve’s AI-driven infrastructure solutions.

The ideal candidate will have strong expertise in Cisco data center ecosystems, advanced AI network topology design, and high-performance fabrics that support large-scale training and inference environments.

Key Responsibilities

• Lead architecture, design, and deployment of AI-optimized data center networks, including:

  • Converged-rail, rail-optimized, and Dragonfly topologies

  • High-performance fabrics supporting RDMA, RoCEv2, and GPU-dense cluster interconnects

  • Networks supporting AI training and inference clusters

• Architect and implement Cisco-centric data center solutions (Nexus, ACI, UCS, NX-OS, etc.)
• Design scalable routing architectures using BGP, OSPF, EVPN, and related protocols
• Provide expert-level troubleshooting and network performance optimization
• Serve as a customer-facing technical leader—translating requirements into architectures
• Collaborate with AI Solutions, Platform Engineering, and customer technical leadership
• Create high-quality design documents, diagrams, and technical recommendations

Basic Qualifications

• 5+ years in enterprise or hyperscale data center networking
• Hands-on experience designing and implementing:

  • AI network topologies: Dragonfly, converged-rail, and rail-optimized fabrics

  • RDMA, RoCEv2, congestion control, lossless Ethernet

  • Spine-leaf architectures, 100/200/400/800G fabric design

  • Cisco data center solutions (Nexus series, ACI, NDFC/NDO, UCS networking)

• Deep understanding of:

  • BGP, OSPF, multihoming, overlay networks, VXLAN/EVPN

  • Network QoS, buffering, scheduling, ECMP, telemetry

• Hands-on experience with network troubleshooting tools (packet capture, latency analysis)
• CCNP Data Center or equivalent certification

Preferred Qualifications

• Experience with AI/ML workload patterns, GPU cluster behavior, and model training pipelines
• Automation experience: Python, Ansible, Terraform, Cisco DCNM/NDFC automation
• Familiarity with monitoring/observability tools: Prometheus, Grafana, ThousandEyes, Cisco Nexus Dashboard Insights
• Experience with multisite architectures, inter-DC fabrics, and L3 stretch patterns
• Exposure to cloud networking (AWS, Azure, GCP) aligned to hybrid AI environments
• Linux systems experience (kernel networking, tuning, NIC offloads)
• Experience with HPC, InfiniBand, or large-scale distributed training platforms
• Familiarity with AI accelerators (NVIDIA H100, B-series GPUs) and cluster topology tuning
• Experience writing SOWs, proposals, or participating in pre-sales architectures
• Excellent communication—able to explain complex concepts to executives and engineers
• Strong customer-facing presence: workshops, architecture reviews, executive briefings
• Ability to lead architectural decisions and drive technical consensus
• Certifications: CCIE Data Center or equivalent highly preferred

Salary Range 

$190,000 - $225,000 + Benefits 

This is a full-time opportunity with Gruve, offering the flexibility to work from any of Gruve’s office locations: Redwood City, California; Plano, Dallas; or Edison, New Jersey. Please note that this is an on-site role.

‍

As a Software Engineer – Data Pipelines / ETL / MLOps you will be responsible for;

We are looking for a Software Engineer with strong experience in data engineering and machine learning operations. This role will focus on building and maintaining scalable data pipelines and supporting ML systems in production.

• Design and implement scalable data pipelines and ETL workflows
• Develop and optimize SQL queries and data models
• Build and maintain MLOps infrastructure (model deployment, monitoring, retraining)
• Ensure data quality, reliability, and performance
• Collaborate with data scientists and engineers to productionize ML models
• Manage large datasets across distributed systems

Qualifications;

• 3–6 years of experience in data engineering or backend development
• Strong SQL and ETL pipeline experience
• Experience with tools like Airflow, Spark, or Kafka
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow)
• Proficiency in Python or Scala
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift)

Salary Range: $90,000 – $130,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

As a Software Development Engineer (Automation & Operational Excellence) you will be responsible for;

We are hiring a Software Development Engineer focused on operational excellence. This role will drive automation of manual workflows, improve system reliability, and build robust CI/CD and testing pipelines.

• Automate manual processes and operational workflows
• Build and maintain CI/CD pipelines
• Develop integration and end-to-end testing frameworks
• Improve system reliability, observability, and deployment processes
• Collaborate across teams to streamline engineering operations
• Identify inefficiencies and implement scalable solutions

Qualifications;

• 5+ years of software engineering experience
• Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI)
• Experience with integration testing and automation frameworks
• Proficiency in Python, Java, or similar languages
• Understanding of cloud platforms (AWS, GCP, or Azure)
• Experience using AI tools to enhance developer productivity

Salary Range: $105,000 – $135,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

As Software Simulation Engineer (AI + Infrastructure) you will be responsible for;

We are seeking an experienced Simulation Engineer to design and scale advanced simulation systems that improve infrastructure performance and decision-making. This role focuses on building high-fidelity simulation environments, expanding simulation coverage, and leveraging AI to model complex real-world systems.

• Design and develop scalable simulation frameworks (e.g., discrete event simulation)
• Expand simulation capabilities to model additional real-world scenarios and systems
• Integrate AI/ML techniques to improve simulation accuracy and predictive power
• Analyze simulation results to drive infrastructure and operational improvements
• Collaborate with engineering and data teams to validate models and assumptions
• Optimize performance and computational efficiency of simulation systems

Qualifications;

• 5+ years of experience in simulation modeling or related fields
• Strong experience with discrete event simulation
• Background in infrastructure systems, operations research, or similar domains
• Experience applying AI/ML in simulation environments
• Proficiency in Python, C++, or similar languages
• Strong analytical and problem-solving skills

Salary Range: $115K-$145K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally.

You will report into the Senior Manager, Clinical Analytics.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
• 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
• 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience in healthcare, consulting, finance or the insurance industry

Bonus points:

• 2+ years experience in preparing healthcare analytics and reporting
• 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience

Senior GenAI Engineer
Location: New York, NY & Dallas, TX | Practice Area: Technology & Engineering | Type: Permanent

Design and deliver next-generation AI solutions shaping the future of financial services

The Role
As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile development and engineering best practices to deliver high-impact AI solutions. As a Senior GenAI Engineer, you will play a key role across the full AI lifecycle—from research and prototyping through to production deployment—helping deliver transformative, enterprise-grade solutions for our clients.

What You’ll Do

• Build applications leveraging foundation models and advanced GenAI techniques (Agentic RAG, KG-RAG)
• Develop autonomous agents using modern agentic frameworks
• Implement MCP integrations and Python-based full-stack solutions
• Design scalable REST APIs and deploy AI workloads across cloud platforms
• Collaborate across teams, mentor colleagues, and contribute to innovation in embeddings and knowledge systems

What We’re Looking For

• Bachelor’s degree in Computer Science, AI/ML, or a related field
• 5+ years of experience in AI/ML-focused software engineering
• Hands-on production experience with LLMs and agentic systems
• Strong expertise in Python and Model Context Protocol (MCP)
• Experience with cloud platforms (AWS, Azure, or GCP) and modern development practices
• Willingness to work on-site in our office 5 days/week

Bonus Points For

• Experience with embeddings at scale and knowledge graph implementation
• Familiarity with ontology extraction and advanced RAG architectures
• Full-stack development experience across backend and frontend technologies
• Exposure to LLMOps/MLOps tools for CI/CD and monitoring
• Experience mentoring or supporting team development initiatives

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Medical, dental, and vision coverage
• 401(k) with employer match
• Paid parental leave and dependent care support
• Tuition and wellness reimbursement programs
• Commuter benefits and access to employee discount platforms

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-MB1

#LI-HYBRID

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

TOTAL COMPENSATION

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

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

TOTAL COMPENSATION

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

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. 

Meet Your Future Neighbors

At Nextdoor, Machine Learning is one of the most critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great machine learning engineers who believe in the power of the local community to empower our members to make their communities great places to live.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in-office presence and work-from-home experience for our valued employees.  

The Impact You’ll Make

You will be part of an avid and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. 

• Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
• Develop personalized content and user recommendation systems that millions of users rely on daily
• Run and analyze live user-facing experiments to iterate on model quality
• Collaborate with other engineers and data scientists to create optimal experiences on the platform
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture 

We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.

What You’ll Bring To The Team

• Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
• Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
• Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
• Strong programming skills in Python or Java
• Effective communication and collaboration skills
• Passion for Nextdoor’s mission and purpose
• Bonus Points - Industry experience of applying machine learning at scale
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Perks & Benefits

We’ve got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:

• Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care,  etc)
• Flexible paid time off
• Dedicated volunteer days
• Stocked micro-kitchens and lunches at our offices
• Ability to join any of our Employee Resource Groups (ERGs)

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 10–12+ years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Salary Range:$200-245K Base + equity

Location: Dallas or Austin.

Senior Solutions Engineer - Mid-Market

What you’ll do as a Senior Solutions Engineer

You are the technical lynchpin through the entire sales cycle - pre and post sales. You will work closely with our prospects and customers to educate, empower, and ensure their success on the Cloudflare platform. Your technical expertise in Cloudflare’s global distributed network and technology will allow you to find best-fit solutions for prospects, to train and onboard new customers via video-conference or in person, through documentation, and to support the long-term success of the customer. As a subject matter expert on web/mobile security and performance, you are a trusted source for developing new firewall rules from log files, crafting performance caching and delivery strategies, and creating or repurposing internal tools and scripts for customers.

As a Senior Solutions Engineer, you are the technical customer advocate within Cloudflare. To aid your customers, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

What we look for in our Senior Solutions Engineers

Our Solutions Engineers come from a wide range of backgrounds: financial consulting, engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

Responsibilities

• As critical members of Cloudflare’s sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy.
• In business generation and expansion, you’ll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs-of-concept (PoCs).
• For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance on internet security and performance.
• The role requires 20-30% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Requirements

• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash, Lua, Go) and a desire to expand those skills.
• Expertise in internet technologies: OSI Model layers 1-7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS.
• Familiarity with Zero Trust Framework and SASE related concepts.
• 12 years plus of experience in a customer-facing sales or consulting role.
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
• A focus on learning, teaching, collaboration, mentorship, and growth, not only personally but also within the team and company.
• Aside from technical and collaborative skills, we place a high value on project management, relationship building, and EQ.

Desired

• You've built web applications before, or contributed to existing web applications in a meaningful way.
• You understand the role of a firewall, the difference between L3, L4, and L7 firewalls, and that ‘ACL’ doesn't always mean Anterior Cruciate Ligament.
• You're not afraid of command-line interfaces, RESTful APIs, or analyzing HTTP request and response in a browser’s web inspector.
• You can describe the differences between CSRF, XSS, and SQLi in detail, and Cloudflare's role in defending against them.
• Understanding of, or experience with, regulatory requirements such a PCI DSS, HIPAA, and SOC-2.
• An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.

Bonus Points

• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Certifications

More About You

• You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in organizations.
• You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
• You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
• You understand how to manage a project, work to deadlines, and prioritize between competing demands.

Compensation

Compensation may be adjusted depending on work location.

• Dallas based hires: Estimated annual salary of $200,000 to $250,000 base + commission.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits 

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

 Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

 Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

As Principal Software Cybersecurity Engineer you will be responsible for;

• Design and implement anti‑tamper protections and embedded cybersecurity frameworks for safety‑critical and secure product lines.
• Lead secure software engineering activities including code analysis, requirements evaluation, architecture reviews, and interface design to ensure robust system security.
• Develop, test, and debug secure applications using languages such as C/C++, Python, and shell scripting.
• Support cybersecurity validation and testing efforts across diverse platforms including embedded systems, RF technologies, and advanced hardware solutions.
• Build and maintain embedded Linux environments, including creation and customization of Linux distributions using embedded build frameworks.
• Collaborate in a cross‑functional engineering environment using Agile methodologies and modern development tools.
• Contribute to system hardening efforts and ensure compliance with security standards and best practices across the development lifecycle.

Qualifications;

• Bachelor’s degree or higher in Computer Science, Software Engineering, Cybersecurity, or a related technical field.9+ years of experience in software development or cybersecurity, including 5+ years focused on application security or system hardening in a senior capacity.
• Strong background in software and system analysis, including code review, requirements assessment, and secure design practices.
• Proficiency in C/C++, Python, and scripting languages for secure application development.
• Experience working with Linux systems, including administration and development of embedded distributions.
• Familiarity with modern development and collaboration tools used in Agile engineering environments.
• Ability to obtain and maintain a government security clearance.
• Possession of, or ability to obtain, an industry‑recognized cybersecurity certification (e.g., Security+, CISSP).

Salary Range: $150,000 - $235,000

Location: Onsite in Westminster, CO

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position. 

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Location: Dallas, Texas  Remote Status: Hybrid

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

LivePerson transforms customer care from voice calls to mobile messaging. Our cloud-based software platform, LiveEngage, allows brands with millions of customers and tens of thousands of care agents to deliver digital at scale. The market leader in real-time intelligent customer engagement. As a B2B SaaS company with 20 years of experience and the heart of a startup, we work day in and day out to help our customers live out our mission of creating lasting, meaningful connections with their customers.

The Cloud Devops team at Liveperson is looking for a Junior DevOps Engineer: a candidate that takes on challenges, continuously expands his area of expertise and naturally takes ownership of his work. The ideal candidate has a strong engineering background, an eagerness to follow good practices and a desire to apply his skills in the field of DevOps.

We will provide you the grounds to succeed, an embracing working environment and very complex and interesting technical challenges to solve.

You Will: Key Responsibilities & Impact

• Develop and maintain automation solutions using Python, Terraform, Ansible, and Bash to streamline deployment, configuration, and management of infrastructure and applications.
• Collaborate closely with development, operations, and other cross-functional teams to understand project requirements, create automation strategies, and deploy efficient solutions.
• Utilize cloud technologies and services, with a preference for Google Cloud Platform (GCP), to architect and manage scalable, secure, and highly available infrastructure.
• Troubleshoot issues across development, testing, and production environments, ensuring rapid resolution and minimal downtime

You Have: Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience of 2 years  in Python programming with a focus on automation and scripting.
• Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• knowledge of infrastructure-as-code tools like Terraform and configuration management tools like Ansible.
• Excellent problem-solving and communication skills.
• Proven ability to work effectively in a collaborative team environment.
• Live within commutable distance to Dallas, Texas

The salary range for this role will be between $90,000 - $110,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Lantern is seeking a Senior Software Engineer to join our healthcare technology team and help shape the future of our platform. In this role, you will drive technical innovation, design and build robust Python-based microservices, and maintain existing C# .NET applications as we transition toward a modern, scalable architecture. You’ll work across the full stack—building secure APIs, developing intuitive frontends, and delivering cloud-native solutions that improve the lives of patients and healthcare providers.

The ideal candidate is a hands-on engineer and technical leader who promotes a culture of knowledge sharing, collaboration, and continuous improvement. You’re comfortable working across domains, partnering with Product, and other stakeholders, and navigating ambiguity to make pragmatic architectural decisions. We value engineers who take ownership, communicate clearly, and are eager to mentor others while raising the technical bar.

At Lantern, we thrive on solving complex challenges and reimagining how healthcare is delivered. We’re looking for someone who brings creativity, curiosity, and a passion for building scalable, maintainable systems—along with a strong sense of teamwork, delivery focus, and a genuine enthusiasm for improving healthcare through technology.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Responsibilities:

• Design and implement robust backend solutions using Python (FastAPI, Django, or Flask) and contribute to .NET (C#) systems during the ongoing platform transition.
• Develop, document, and maintain secure RESTful APIs for integration with internal applications, third-party services, and mobile platforms.
• Build and maintain responsive frontends using React or Angular, tailored for care advocates and patient-facing applications.
• Leverage cloud platforms (Azure, AWS) to develop scalable, high-availability solutions using cloud-native services such as functions, messaging queues, storage, and managed databases.
• Maintain CI/CD pipelines in co-ownership with infrastructure team to support continuous delivery and infrastructure automation with tools like Azure DevOps or GitHub Actions.
• Collaborate closely with Product, and QA teams to define technical requirements and ensure regulatory alignment.
• Participate in system architecture design, peer code reviews, and sprint planning to drive high-quality engineering outcomes.
• Mentor junior developers and contribute to internal technical standards, documentation, and best practices.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• A minimum of 5 years of experience in software development, with strong proficiency in Python and working knowledge of .NET (C#) for maintaining legacy systems.
• A minimum of 5 years of experience building secure, scalable REST APIs and backend services.
• Solid understanding of relational databases such as Microsoft SQL, PostgreSQL, or MySQL.
• Experience writing unit and integration tests using frameworks such as PyTest, xUnit, or Jest to ensure code quality and maintainability.
• Familiarity with OAuth 2.0 authentication and authorization flows.
• Strong experience with cloud platforms like Azure or AWS, including serverless and containerized services.
• Excellent problem-solving and analytical skills, with a proactive approach to modern design and development practices.
• Familiarity with healthcare data standards (FHIR, HL7, X12) and HIPAA-compliant environments is a plus
• Experience working within Agile/Scrum methodologies.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Who You Are:

A collaborative and experienced Security Engineer with hands-on experience running a Security Operations Center (SOC) for a DataCenter. You're comfortable working with existing tooling to analyze and monitor day-to-day operations, as well as create your own scripts or tools in both cloud and on-prem. You work well with others to solve complex problems, contribute to system design, and ensure smooth, reliable operations. You're proactive in learning and applying new technologies to enhance performance and efficiency.

Responsibilities: 

• SOC Operations & Management: Oversee and manage the day-to-day operations of the Security Operations Center, including monitoring, analyzing, and responding to security alerts and incidents.
• Threat Detection & Response: Identify, investigate, and respond to cybersecurity threats using advanced monitoring tools, SIEM platforms, and other security technologies.
• Incident Management: Lead or support incident response activities, including root cause analysis, mitigation, and post-incident reporting.
• Custom Scripting & Automation: Develop and maintain custom scripts (e.g., in Python, PowerShell, Bash) to automate security processes, improve threat detection, and streamline incident response workflows.
• Security Monitoring & Analysis: Analyze logs, network traffic, and system behavior to detect potential security breaches or anomalies.
• Tool Implementation & Optimization: Support the deployment, configuration, and optimization of security tools such as SIEM, SOAR, IDS/IPS, firewalls, and endpoint detection and response (EDR) solutions.
• Collaboration with Teams: Work closely with IT, DevOps, and other security teams to ensure consistent security practices and to implement protective measures.
• Security Policies & Procedures: Participate in the development and maintenance of security policies, procedures, and best practices.
• Training & Mentoring: Provide guidance and mentorship to junior team members and contribute to the continuous improvement of the SOC team.

Requirements: 

• Experience working in or running a SOC
• Strong scripting skills in Python, PowerShell, Bash, or similar languages, with experience in automating security tasks.
• On-prem Firewall Rule and Configuration (Palo)
• Experience with various on-prem and Cloud environments (VMware, AWS, Azure)
• Experience with security log/analysis tools such as Splunk, ELK, SumoLogic, or similar SIEM platforms.
• Experience with XDR, DLP, and UBA tools and concepts (Cortex, CrowdStrike, etc.)
• Good understanding of network protocols and system security
• Windows and Linux experience
• Experience with CI/CD and DevOps practices
• Strong problem-solving and analytical skills
• Familiarity with version control (Git)
• Excellent communication and collaboration skills

What We Offer (US):

• Competitive base salary and discretionary bonus

• Flexible Time Off (i.e. unlimited paid vacation days)
• Company paid Holidays (11)

• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• 3% 401(k) company contribution
• Generous paid Parental Leave
• Free virtual coaching and counseling sessions through Ginger
• Opportunities to learn about the Crypto and Data Center industries
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility

• Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
• Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
• Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
• Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
• Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
• Must be proficient in both TypeScript and Python
• Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
• Deep understanding of AWS Processing Framework like Step Functions
• Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
• Apply best practices for code quality, security, testing, and performance optimization.

About you

We get excited about candidates, like you, because...

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
• Strong expertise in TypeScript (Node.js) and Python.
• Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
• Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.

NIce to Have:

• Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
• Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Company Overview

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

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

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

Data & Analytics

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

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

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

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

This position is not eligible for immigration sponsorship.

About the Role and You

We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn't a role about building models in isolation—it's about transforming how a business makes decisions, identifies opportunities, and drives growth. You'll be equal parts analyst, advisor, and architect of our strategic direction.

What You'll Do

You'll sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You'll work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.
Your day-to-day will involve identifying the right questions to ask before anyone else thinks to ask them, building the analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You'll own strategic initiatives from conception through execution, measuring impact and iterating as you go. You’ll travel to client sites as needed, leading AI assessment and Strategy Engagements.

What We're Looking For

The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long-term planning. You've seen how businesses succeed and fail, and you know how to spot the difference.
The Technical Depth: You're genuinely strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are still in your wheelhouse.
The Translation Layer: You can explain complex analytical concepts to non-technical stakeholders without dumbing them down. You know how to build conviction around data-driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
The Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers. You've worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.

Requirements

• 5+ years of experience in analytical roles with increasing strategic responsibility
• Strong foundation in statistics, machine learning, and quantitative analysis
• Demonstrated experience influencing business strategy through data
• Track record of identifying and driving growth opportunities
• Excellent communication skills with technical and executive audiences
• Proficiency in modern data science tools and languages
• Understanding of business finance and growth frameworks

Ideal Background

You might come from management consulting with deep analytical chops, strategic roles at high-growth companies, corporate strategy teams with hands-on data work, or data science roles where you've grown into strategic advisory. What matters most is that you've successfully used data to change how businesses operate and grow.

What Success Looks Like

In your first year, you'll have identified three major strategic opportunities we weren't seeing before, built the analytical infrastructure to evaluate them rigorously, and driven at least one to implementation with measurable business impact. You'll have become a trusted advisor to leadership and the person they turn to when facing the company's thorniest strategic questions.

The annual salary for this role ranges from: $145,000 to $195,000 USD + bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

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

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

#LI-BS1

Company Overview

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

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

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

Data & Analytics

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

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

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

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

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

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

#LI-BS1

About the Role:

The Senior Network Operations Center (NOC) Engineer I serves as a senior member of the Tier 1 engineering team, responsible for advanced alert validation, intermediate troubleshooting, and driving resolution of recurring issues within on-premises and cloud environments. This role provides mentorship to Engineer I peers, contributes to runbook improvements, and ensures quality in escalations to higher tiers. The Senior Engineer I plays a key role in reducing mean time to resolution (MTTR) and improving operational efficiency across client environments.

What You’ll Do:

• Monitor servers, networks, and cloud environments for performance issues, outages, and alerts.
• Perform intermediate troubleshooting, including log analysis, CLI commands, service restarts, firewall rule checks, and connectivity validation.
• Execute recurring maintenance and health check procedures as defined in operational runbooks.
• Maintain and update documentation for tools, systems, and incident response processes.
• Assist with coordination during incidents, communicating clearly with stakeholders, and providing status updates.
• Identify patterns in recurring issues and propose operational or alerting improvements.
• Take ownership of recurring Tier 1 issues and provide feedback to engineering leadership on patterns and potential automation opportunities.
• Contribute to the refinement of monitoring alerts, dashboards, and SOPs in collaboration with Tier 2 Engineers.
• Act as an escalation point for Engineer I staff, validating their findings and ensuring SOP compliance before Tier 2 escalation.

Qualifications & Interests:

• Minimum 2 years of IT support or NOC experience with proven ability to resolve issues without escalation.
• Proficiency in Windows administration (user management, service troubleshooting, log review).
• Practical networking knowledge, including DNS, DHCP, routing, VPNs, and firewall rule analysis.
• Working knowledge of infrastructure monitoring tools (e.g., LogicMonitor, SolarWinds, Auvik)
• Hands-on experience with cloud platforms (Azure, AWS) at the administrative level preferred.
• Experience with scripting languages (PowerShell, Bash, or Python) to automate repetitive tasks.
• Comfortable using command-line interfaces and performing basic diagnostics.
• Strong understanding of ticketing systems, lifecycle management, and escalation protocols.
• Basic knowledge of ITIL practices related to incident, service request, and change management.
• Ability to serve as a peer mentor, reviewing tickets and guiding less experienced engineers.
• Experience working in a 24/7 operations or shift-based environment.

Education/Certifications

• Associate’s degree in Information Technology, Computer Science, or related field (or equivalent experience).
• Industry certifications such as CompTIA A+, Cisco Certified Support Technician (CCST), or Microsoft Fundamentals.
• Certifications such as CompTIA Network+, Cisco CCNA, Microsoft Azure Administrator, or equivalent are strongly preferred.
• ITIL Foundations certification or equivalent service management training preferred.

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
• 2+ years in building robust data models
• 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

• Experience using Python or R
• 2+ years experience in healthcare or insurance industry
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• Prior experience in Member Relations or Customer Success environments.
• Building data models in dbt
• Building reports in Looker Studio Pro
• Git workflows

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

CLOUD ENGINEER

What experience should you have:

• 4+ years of professional web application development experience.
• Strong command of TypeScript and either Go or Python with full-stack development experience.
• Knowledge of Google Cloud Platform, specifically Load Balancing and web architecture.
• Experience operating Cloud Run applications in production environments.
• Proficiency with Git workflows and agile development processes (SDLC).

Preferred: Professional Cloud Developer certification or experience in client-facing consulting.

What you’ll be doing in this role:

• Build and implement web applications using TypeScript (Svelte), Go, and Python (FastAPI).
• Design and optimize PostgreSQL database schemas to ensure performance and data integrity.
• Manage application deployments on GCP using Cloud Run and Cloud SQL
• Develop user-friendly interfaces using modern frameworks like Svelte.
• Collaborate with data science teams to integrate AI models into production APIs.

What you'll need to accomplish in your first year:

• Successfully deploy and maintain high-availability cloud applications for client projects.
• Consistently deliver clean, secure, and performant code that meets team standards.
• Become a key contributor to the technical integration of AI-driven features into web interfaces.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Lantern is seeking an experienced Senior Site Reliability Engineer to champion the reliability, availability, and performance of our Azure-based healthcare platform. In this pivotal role, you will define and implement SRE practices, drive incident management processes, build observability frameworks, and ensure our systems meet stringent uptime and compliance requirements. You will collaborate with platform engineers, application developers, and security teams to embed reliability into every layer of our infrastructure. This role is ideal for an SRE expert with deep experience in production operations, monitoring, incident response, and automation in cloud environments.

You will work on the Platform Engineering team, partnering with application developers, infrastructure engineers, and security teams to establish SRE best practices across Lantern. Your focus will be on building resilience, reducing toil through automation, and creating a culture of reliability that ensures our healthcare platform delivers consistent, high-quality service to our users.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX / Chicago/Evanston / New York / Washington, DC
On-Call:  This position requires being on-call 1 week per month

Responsibilities:

• Define and track SLOs/SLIs/error budgets for critical healthcare services
• Build and maintain observability platforms (monitoring, logging, alerting, tracing) using Datadog and Azure Monitor
• Lead incident management processes using Rootly, including on-call rotations, runbooks, and post-incident reviews
• Automate operational toil through Infrastructure-as-Code (Terraform) and custom tooling
• Design and implement disaster recovery and business continuity strategies
• Collaborate with development teams to improve service reliability through architecture reviews and chaos engineering
• Optimize system performance, capacity planning, and cost efficiency for Azure infrastructure
• Ensure production systems meet HIPAA, SOC 2, and other regulatory requirements
• Maintain and improve CI/CD pipelines to support safe, rapid deployments
• Mentor junior engineers and foster a culture of reliability and operational excellence

 Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 4+ years in SRE, DevOps, or production operations roles
• 3+ years with Microsoft Azure (AWS/GCP a plus)
• Strong experience with observability tools (Datadog, Azure Monitor, Prometheus, Grafana, or similar)
• Experience defining and managing SLOs/SLIs and error budgets
• Proven incident management and on-call experience (Rootly or similar incident management platforms)
• Hands-on with Infrastructure as Code (Terraform) and CI/CD (Azure DevOps, GitHub Actions)
• Experience in regulated environments (healthcare/HIPAA preferred)
• Strong scripting skills (Python, Bash, PowerShell)
• Excellent communication and collaboration skills
• If you don’t meet every requirement listed, we still encourage you to apply.

Strong Candidates Will: 

• Deep experience with chaos engineering and reliability testing
• Experience with Azure Kubernetes Service and containerized workloads
• Relevant certifications (Azure, SRE, Kubernetes)

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Flexible Time Off
• Paid Parental Leave

Your Role as a Cloud Security/Penetration Test Engineer :

We are seeking a highly skilled Cloud Security Engineer to join our dynamic team. This is a crucial customer-facing role where you will be instrumental in designing, implementing secure cloud configurations, manual web application testing and securing complex cloud environments for our clients across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), with a strong emphasis on GCP. A fundamental part of your role will be demonstrating your ability to manually penetration test web applications. 

You will leverage your deep expertise in SaaS security, network security, and compliance to provide strategic guidance and hands-on support, ensuring our clients' cloud infrastructures are robust, resilient, and compliant with industry standards.

What You'll Do:

• Perform manual penetration testing activities on Web Applications and Mobile Applications using black-box testing tools, in-depth penetration test (using shell scripts and manual testing) techniques, DAST & SAST tools. The candidate should be highly experienced with black box, gray box and white box testing techniques along with red teaming skills 
• Understand the application architectural components, business purpose of the application and code at high level. The resource will be responsible for assisting in architecting secure coding practices.
• Web Application: Highly familiar with OWASP Top 10 and the ASVS. You will be the Subject Matter Expert within the organization to demonstrate OWASP Top 10 findings and provide resolution recommendations. 
• Cloud Security Operations: Design, implement, and optimize robust cloud security architectures to enhance, build, monitor and address all security alerts from our SIEM and other security systems. This is an operational role whereby you will be available M-F 8am-5pm EDT and on-call shifts on evenings and weekends.  
• Network Security Expertise: Your network security and cloud security expertise will be required to respond to customer questionnaires, customer calls and create artifacts including network diagrams, architecture diagram, data flow diagrams and other artifacts to support customer requests. Strong written skills will be required here and attention to detail. 
• Firewall & WAF Management: Configure, manage, and troubleshoot cloud-native firewalls (e.g., GCP Cloud Firewall, Azure Firewall, AWS Security Groups/NACLs) and Web Application Firewalls (WAFs) to protect web applications from common vulnerabilities and attacks. The candidate will demonstrate past hands-on network experience in managing complex layer-4 to layer-7 rules. 
• SIEM Integration & Optimization: As a Level-2 Security Operations support team member, you will review all security alerts and resolve these alerts in a timely manner. You will work with our current Security Operations team to expand on our current alerting and reporting capabilities to enhance visibility across our attack surface. Powershell or similar scripting skills will be required. 
• SaaS Security Best Practices: Provide expert guidance on securing SaaS applications, including identity and access management (IAM), data encryption, API security, and secure configuration baselines. You will be responsible for leading and managing all firewall reviews, access reviews, system reviews and risk assessments. 
• Compliance & Governance: Lead and contribute to compliance initiatives, ensuring cloud environments adhere to industry regulations and frameworks such as GDPR, SOC 2, ISO 27001, CMMC and CSA STAR. Conduct security assessments and gap analyses.
• Customer Engagement & Presentation: Act as a trusted advisor to clients, effectively communicating complex technical security concepts to both technical and non-technical stakeholders. Deliver engaging presentations, attend client workshops, and build strong client relationships.
• Incident Response & Remediation: Support incident response activities by providing expert analysis and remediation strategies for cloud security incidents. This will extend to leading Incident Response Plan initiatives and creating documentation for all parties to follow specific plans. 
• Vulnerability Management and Penetration Testing: Responsible for running the comprehensive vulnerability management and penetration testing program. The candidate will be responsible for reviewing, interpreting and advising operations teams on how best to remediate identified vulnerabilities and work with the operations to bring all findings to a close. The candidate will be responsible for working with our software development teams to review, manage and collaborate on the remediation of open OWASP findings. 
• Stay Ahead of the Curve: Continuously research and evaluate emerging cloud security threats, technologies, and best practices.

What You Bring:

• 10+ years of progressive experience in web application penetration testing, cybersecurity, with at least 4+ years focused on cloud security engineering.
• Strong organizational, administrative, project management and communication skills will be required to manage the overall security program.
• Deep hands-on experience with Google Cloud Platform (GCP) security services and best practices is essential and managing cloud security alerts in our SIEM.
• Strong practical experience with Microsoft Azure and Amazon Web Services (AWS) security services.
• Proven expertise in securing SaaS applications and understanding of common SaaS security challenges.
• Extensive experience with scripting skills, network security principles and implementation in cloud environments.
• Demonstrable experience with firewall management (cloud-native and third-party) and Web Application Firewalls (WAFs).
• Hands-on experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google Chronicle Security Operations, Datadog, etc) including sink creations, log ingestion, rule creation, and dashboarding.
• Strong understanding of cloud identity and access management (IAM) principles and best practices across multi-cloud.
• Solid knowledge of compliance frameworks and regulations (e.g., GDPR, SOC 2, ISO 27001, CMMC).
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex security concepts clearly and concisely to diverse audiences.
• Ability to work independently and as part of a team in a fast-paced, client-facing environment.
• Problem-solving mindset with a strong attention to detail.
• CISSP is required. Azure and Google certifications are highly desirable. 

Required Qualifications:

• Bachelor's Degree in Statistics, Computer Science, Risk Management, Cyber Security, or related field 
• 5+ years of experience in web application penetration testing 
• 5+ years in cloud or network penetration testing 
• 4+ years of experience managing, tracking and supporting a security program including compliance, risk management, security operations, security engineering and cloud security initiatives.
• 4+ years of experience securing, configuring and supporting cloud environments (Azure and GCP)
• 4+ years of experience supporting a security operations center, managing security alerts, configuring SIEMs and, creating custom alerts using PowerShell, Python or Bash scripts
• Provide guidance on security vulnerabilities, responding to security questionnaires,  working with software engineering teams on OWASP Top 10 vulnerabilities, secure coding practices, and threat modeling.
• Microsoft certifications a plus
• Security Certifications: CISSP, GWAPT, OSWA or OSCP are required, CISM desirable and other certifications would be a plus.

Bonus Points If You Have:

• Relevant industry certifications like OSWE or Cloud Provider Certifications (e.g., Google Cloud Professional Cloud Security Engineer, Azure Security Engineer Associate, AWS Certified Security – Specialty, CCSP).
• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, ARM templates) for security automation.
• Scripting skills (e.g., Python, PowerShell, Bash).
• Experience with container security (Docker, Kubernetes).
• Knowledge of DevSecOps principles and practices.

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment 

Position Summary: We are seeking a highly skilled Azure Engineer with expertise in Microsoft Azure and Amazon Web Services (AWS) to support the cloud infrastructure needs of our legal operations. The ideal candidate will have experience deploying secure, compliant, and scalable cloud environments tailored to the legal industry, including Windows Virtual Desktop (WVD), Microsoft Intune, Microsoft 365, and Entra ID for identity and device compliance management.

Key Responsibilities: 

• Design, implement, and manage secure cloud infrastructure on Azure and AWS to support legal case management systems, e-discovery platforms, and document management solutions. 
• Deploy and maintain Windows Virtual Desktop (WVD) environments for attorneys and legal staff. 
• Manage Microsoft Intune for mobile device management (MDM) and mobile application management (MAM), ensuring device compliance and secure access to legal data. 
• Administer Microsoft 365 services including Exchange Online, SharePoint, Teams, and OneDrive with a focus on legal collaboration and data retention policies. 
• Configure and manage Microsoft Entra ID (formerly Azure AD) for identity governance, conditional access, and secure authentication. 
• Conduct cloud cost analysis and implement cost-saving strategies using Azure Cost Management, AWS Cost Explorer, and FinOps best practices. 
• Ensure compliance with legal industry regulations such as HIPAA, GDPR, ISO 27001, and ABA cybersecurity guidelines. 
• Automate infrastructure provisioning using Terraform, ARM templates, CloudFormation, or Bicep. 
• Monitor cloud environments for performance, security, and availability using Azure Monitor, AWS CloudWatch, and third-party tools. 

Qualifications:

• Preferred Certifications: 
  • Microsoft Certified: Azure Solutions Architect Expert 
  • AWS Certified Solutions Architect – Associate or Professional 
  • Microsoft Certified: Azure Virtual Desktop Specialty 
  • Microsoft Certified: Security, Compliance, and Identity Fundamentals 
  • Certified Information Systems Security Professional (CISSP) – a plus 
  • ITIL V.4 

• Technical Skills Required: 
  • Cloud Platforms: Microsoft Azure, Amazon Web Services (AWS) 
  • Virtualization & VDI: Windows Virtual Desktop (WVD), Azure Virtual Desktop (AVD), FSLogix 
  • Device & Identity Management: Microsoft Intune, Microsoft Entra ID, Conditional Access, Compliance Policies 
  • Productivity & Collaboration: Microsoft 365 (Exchange, SharePoint, Teams, OneDrive) 
  • Infrastructure as Code (IaC): Terraform, ARM templates, CloudFormation, Bicep 
  • Scripting & Automation: PowerShell, Python, Bash 
  • DevOps & CI/CD: Azure DevOps, GitHub Actions, Jenkins, AWS CodePipeline 
  • Monitoring & Logging: Azure Monitor, AWS CloudWatch, Log Analytics, Prometheus, Grafana 
  • Networking: VNet, VPC, VPN Gateway, ExpressRoute, Route 53, NSGs, Load Balancers 
  • Security & Compliance: Azure AD, IAM, Key Vault, Security Center, AWS IAM, KMS, GuardDuty, HIPAA/GDPR/ISO 27001 compliance 
  • Cost Management: Azure Cost Management, AWS Cost Explorer, Budgets, Trusted Advisor 
  • Legal Tech Integration: Experience with legal software platforms (e.g., Filevine, Litify) is a plus 
• Soft Skills Required: 
  • Strong understanding of legal industry workflows and data sensitivity 
  • Excellent communication skills to collaborate with attorneys, paralegals, and IT staff 
  • Ability to translate technical concepts into business-friendly language 
  • Strong organizational and documentation skills 
  • Proactive problem-solving and critical thinking abilities 
  • High attention to detail, especially in compliance and security contexts 
  • Ability to manage multiple priorities and projects in a fast-paced legal environment 
  • Team-oriented mindset with a willingness to mentor and share knowledge 
  • Strong sense of ownership and accountability for cloud infrastructure and services
    

Physical Requirements:  

• Office environment with normal business hours necessary to satisfactorily perform job functions.   
• Stationary Position – Must be able to remain in a stationary position up to 50% of the time.  
• Move or Traverse – This position needs to occasionally move about inside the office to access file cabinets, meeting rooms, office machinery, etc.  May occasionally ascends/descends the stairs to get to other floors, cafeteria and parking area.
• Dexterity – constantly operates a computer and other office machinery such as a copy machine/printer.  
• Move, Transport, Position, Put, Install, Remove - Occasionally moves supplies weighing up to 10 pounds for various presentation and event needs. 
• Communicate, Detect, Converse with, Discern, Convey, Express oneself, Exchange information - The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• Detect, Determine, Perceive, Identify, Recognize, Judge, Observe, Inspect, Estimate, Assess - The ability to observe details at close range (within a few feet of the observer).

Benefits and Perks:

• Medical, dental, vision
• Company paid Life and AD&D Insurance
• Company Paid STD (with no waiting period) and LTD Insurance
• Option to purchase additional Life and AD&D Insurance
• Voluntary Critical Illness, Accident, and Hospital Indemnity Coverage
• 401(k) with company contributions
• Paid Time Off
• 10 Company Holidays 
• Tuition Reimbursement

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

Who You’ll Be Working With

At PMG, we’re redefining what’s possible in digital marketing through Alli, our cloud-based suite of AI-powered tools. Alli has helped deliver ads to over 1 billion consumers in 80+ countries, driving meaningful results for some of the world’s most recognized brands. As an AI & Software Engineering Manager, you’ll lead a team of talented engineers focused on solving complex challenges, developing AI-driven solutions, and shaping the technology stack that powers Alli’s Actions, Data, or Insights pillars.

This isn’t just a leadership role—it’s an opportunity to influence the future of AI-powered marketing, drive real impact for our clients, and mentor engineers as they build groundbreaking solutions. You’ll collaborate closely with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. If you’re passionate about AI, love tackling big challenges, and thrive in a fast-moving, supportive environment, this is the place for you.

What You’ll Be Doing

• Lead and mentor a high-performing team of engineers, fostering career growth and technical excellence.
• Work in a collaborative, fast-moving environment, where ideas turn into impactful solutions quickly.
• Define and drive the technical vision and roadmap for Alli’s AI-powered solutions, ensuring scalability, reliability, and long-term success.
• Design, develop, and deploy cutting-edge AI-driven features that help brands make smarter marketing decisions.
• Partner with Product Managers, Designers, and cross-functional teams to integrate AI solutions that enhance performance and drive measurable results.
• Guide the team in best practices for clean code, automated testing, version control, and scalable architecture.
• Conduct code reviews, debugging, and testing, ensuring high-quality, maintainable code.
• Stay ahead of emerging AI and machine learning technologies, championing innovation that shapes the future of marketing technology.

What You Will Bring

• 5+ years of software development experience with object-oriented programming, delivering scalable and maintainable solutions with a Bachelor’s or Master’s degree in Computer Science or Computer Engineering or related experience.
• 2+ years leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth
• 2+ years of experience with AWS or other cloud platforms, including deploying and managing applications in cloud environments.
• Proven ability to balance hands-on development with leadership responsibilities, ensuring team success.
• Strong expertise in RESTful API design, system architecture, and SOLID engineering principles.
• Proficiency in backend and frontend technologies, including Python, JavaScript (Node.js, React), and Go.
• Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to ensure reliability and efficiency.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management.
• Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes.
• Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives.
• A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement.
• Experience in digital marketing or advertising technology and its intersection with engineering solutions.
• Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka.
• A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.
• Provide technical guidance and strategic insights to client teams, leveraging expertise in media, technology, and emerging trends.
• Strong proficiency in SQL, Python, and other relevant programming languages for data manipulation, analysis, and process automation.
• Experience in a client-facing role, providing both technical advice and strategic insights to help clients achieve their goals

Nice To Have Qualifications

• Interest or familiarity working in the Digital Marketing industry
• AWS Solutions Architect - Professional certification
• Prior experience working with Large Language Models (LLMs)
• Familiarity with Infrastructure-as-Code tools like Terraform
• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field

The QAE is responsible for conducting various tests on robotic systems to ensure product quality, performance and reliability. This role is critical to the development of the most advanced robotic fulfillment and sortation systems.

• Testing the functionality and performance of a robotic manipulation workcell as part of an overall solution.
• Test robotic workcell operation as an independent product being qualified as well as it’s interaction and integration with the robot fleet, gantry workcell and other microservices. Recovering workcell from mechanical and/or software faults.
• Ability to troubleshoot HW/SW/FW to identify failures and translate into well written defects. Ability to recover from failures and maintain a healthy test environment.
• Deploy, configure, and maintain robotic and automated manipulation workcells, and related environments (SW, FW, HW updates) to align with changing test scenarios.
• Testing involves a combination of physical and virtual test environments, therefore expect physical activity (walking, bending, squatting for low profile bots, lifting, pushing). Tests may involve prepping test data virtually via SW tooling or physically via package sets, totes, carts, etc.
• Clearly communicate regular status to QA Lead/Manager and/or development team. Highlight risks or blockers in a timely fashion. Ability to think on your feet to quickly diagnose a situation and determine next steps. Excellent verbal and written communication is critical.
• Collect and analyze data and metrics during or after active testing (logs, dashboards, databases, other web tools) and document observations.
• Self-driven to deliver result and motivated to learn and understand the complex systems being tested (environment configuration, test plan and test data creation, test execution, what we validate/where and why). Able to deal with ambiguity and switch gears/priorities quickly when products or features are early in the maturity cycle.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent is required
• 3-5+ years of relevant work experience with software and hardware QA testing is required
• Basic computer skills, understanding of basic programming concepts, including running scripts and basic know of Unix/Linux commands
  • Experience with SQL and Python is highly preferred
• Familiarity with software quality engineering best practices
• Experience with bug tracking systems (e.g., JIRA) and test/requirement management systems
• Experience with and understanding of XML and Json
• Ability to react well to changes, work with multiple teams and multi-task on multiple products and projects
• Must be self-driven, highly motivated and possess strong communication skills in a cross-collaborative environment

Preferred Qualifications:

• Experience testing in a multi-tier software applications, human machine interaction systems and robotic applications
• Experience with open source test tools, make files and build scripts
• Familiar with hardware-in-the-loop testing with sensors and/or other peripheral devices