MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

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: 2263203305

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!

Data Architect

You own the data spine of the platform: the canonical event envelope, the multi-tenant transactional store, the read-side projections that power every console view and API response, and the AI/ML data infrastructure that makes the system intelligent rather than just instrumented. This is not a specialist role. We are hiring one person who has done all three surfaces at production depth and can hold the trade-offs simultaneously. The data volume is significant, the schema evolution problem is hard, the tenant isolation requirements are unforgiving, and the AI workloads sit on top of all of it. If any of those three surfaces feel uninteresting, this isn't the role. You'll work shoulder-to-shoulder with the Solution Architect on the canonical data model and with the Senior Developer on implementation. You write the migration playbooks, the upcaster chains, the projection rebuild procedures, and the runbooks that let us sleep at night. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 10+ years of data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation.
• Production experience with event-sourced systems. You have personally implemented or evolved an event envelope, dealt with the upcaster chain problem, and lived with the consequences of an early schema decision.
• Deep Postgres expertise: schema design, indexing, query plan analysis, RLS. Not "I've used Postgres" but "I know what I'd do differently from the last team."
• Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis. You understand the difference between a topic, a partition, a consumer group, and a saga, and you've designed for all of them.
• Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns. You can take an event log and produce a queryable shape that analysts and AI systems can actually use.
• Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know why most of them don't.
• Strong SQL, strong enough to be the person other engineers go to.

Nice to have

• Drizzle, Prisma, or another modern TypeScript ORM at production depth.
• Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes.
• Background in feature stores, ML pipelines, or model evaluation infrastructure.
• Semantic layer experience: dbt, Cube, or Malloy.
• Compliance experience: SOC 2, HIPAA, GDPR, data residency. The audit story is part of the data story.
• Open-source work or public writing on data architecture.

What you’ll be doing in this role:

• The canonical event envelope and schema evolution strategy: how events are versioned, how upcasters chain, how projections rebuild, and how we add fields without breaking history. You write the rules and enforce them in code review.
• The transactional data layer: Postgres schema design, tenant isolation via row-level security, indexing strategy, query patterns, and migration discipline. Every table in a data plane carries a tenant_id and a policy. You make sure of that.
• The read-side architecture: projection design, materialized views, semantic layer for downstream analytics and AI consumption. You decide how we move from event log to queryable shape and how that shape stays cheap to maintain.
• The AI/ML data infrastructure: vector stores, embedding pipelines, retrieval-augmented generation patterns, feature stores where applicable, and the lineage that lets us trust what comes back.
• Data governance: lineage, retention, deletion (right-to-be-forgotten in a multi-tenant event-sourced system is a real problem and you'll solve it), and the audit story for every piece of customer data we touch.
• The operational playbook: projection rebuilds, replay procedures, schema migrations on hot data, vector index maintenance, capacity planning. If the data layer goes sideways at 2am, your runbook is what saves the on-call engineer

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

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.

We are constantly striving to make the most reliable and scalable systems possible to ensure that our services are available to our travelers when they need it most. With our exponential growth, we have many exciting challenges ahead and we’re looking for a passionate Site Reliability Engineer to join our team in Dallas, TX or Austin, TX. As an SRE you will design and develop tooling, automation and infrastructure services that power the Navan services, used by thousands of travelers on a daily basis.  You will work closely with development teams, release and productivity teams and security teams to identify customer needs and build innovative solutions to solve them. 

You will work across a vast array of systems and technologies, aiming to build an autonomous, monitored, fault-tolerant infrastructure that is optimized for both simplicity and uptime. You will collaborate with the backend and frontend engineering teams to ensure that product solutions are scalable, efficient, and reliable. You will design infrastructure to support our massive growth and work with the team to maintain the highest level of service.

What You'll Do:

• Building a fast moving, high growth service. Navan is revolutionizing travel and expense services for the enterprise, and the product is evolving quickly. You are comfortable in a startup environment, enjoy seeing the product take shape, and have strong ownership of the success of your services.
• Designing, implementing and operating cloud infrastructure. You’re a fit for us if you think in terms of infrastructure as code, deployment pipelines, and building the guardrails to make going fast also going safely.
• Identifying reliability anti-patterns and solving them systemically. You dive deep into the data to evaluate the health of your systems, and you use it to improve visibility and reliability across the fleet of services.
• Finding and automating the toil out of our processes. You’d prefer to automate it entirely, or build a tool to empower your users rather than be the gatekeeper to the tool.
• Leveraging AI tools and platforms in your daily work to achieve autonomous operations, reduce toil, and improve system observability.
• Defining and driving the adoption of system reliability standards, including formalizing SLO/SLI frameworks, observability standards, and blameless post-mortem practices across multiple engineering teams.
• Driving the adoption of AI-assisted developer tools and platforms to increase engineering productivity, enforce code quality standards, and enable real-time architectural validation.

What We’re Looking For:

• 5+ years of progressive experience as a Senior SRE or DevOps Lead (or equivalent role)
• 2+ years of experience in working on a production, 24x7 product environment
• Passionate about solving problems and learning new tools and technologies
• Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems
• Thrive in a fast-paced environment 
• Demonstrated experience mentoring and leading junior and mid-level engineers, and acting as a technical owner for cross-functional infrastructure projects.
• Operate with a strong sense of ownership demonstrated through shipping production-quality code and infrastructure equipped with testing, monitoring and documentation
• Hands-on operational experience with Java based applications and services including JVM profiling and performance tuning (python, Node.js and Go are a plus)
• Hands-on experience building and operating distributed systems in a public cloud environment (preferably AWS), using CI/CD to deploy, manage and operate production systems, focusing on tooling and automation using tools such as maven and Jenkins.
• Hands-on experience with microservice architecture and related reliability and resiliency patterns such as throttling, queueing, and retries
• Hands-on experience with writing Infrastructure as Code in Terraform or Cloudformation or similar tools
• A passion for automating away everything, using scripting languages such as python, bash groovy (we prefer lazy engineers)
• Built, using, and automating monitoring systems such as NewRelic, DataDog, SignalFX, Kibana,
• Hands-on experience deploying, operating, and monitoring production-grade AI/ML microservices (e.g., RAG pipelines, agentic systems) on cloud platforms like AWS Fargate/ECS.
• Experience leveraging AI/LLM platforms (e.g., Gemini, Braintrust) and managing their secrets and infrastructure using Infrastructure as Code (Terraform) and AWS SSM.
• Demonstrated ability to integrate AI-specific telemetry and advanced observability practices to enable predictive insights and systemic root-cause analysis.

Lantern Specialty Care is seeking a Senior Risk & Governance Analyst to join our GRC team as a key individual contributor. This is a newly created role, built to scale our risk and compliance capabilities as we expand our AI-forward healthcare technology platform. You will report directly to the Sr. GRC Manager and play a foundational role across four priority areas: maintaining our risk register, advancing AI risk governance, TPRM, and supporting our HIPAA compliance program.

This is a high-impact, cross-functional role. We are at a critical stage of maturing our GRC program. There is significant greenfield opportunity to build structure where gaps exist, particularly in risk management and AI governance. The ideal candidate is hands-on, comfortable with ambiguity, and excited to leave their fingerprints on programs that will shape the organization’s risk posture for years to come.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office located at 2100 Ross Avenue, Suite 1900, Dallas, Texas 75201

Responsibilities: 

• Support the build-out of Lantern’s risk register by conducting risk identification workshops, defining risk taxonomy, assigning ownership, and establishing likelihood/impact scoring
• Map current control environment against the NIST CSF function; document gaps and develop a prioritized remediation roadmap
• Establish recurring risk review cadence with business unit owners
• Maintain and evolve the risk register as a living document; produce regular risk reporting for leadership
• AI governance framework aligned to the NIST AI RMF — covering model risk assessment, bias considerations, transparency standards, and accountability structures
• Build and maintain an AI systems inventory with risk ratings; assess new use cases before deployment in partnership with Engineering and Product
• Monitor emerging AI regulatory guidance (HHS, EU AI Act, state-level) and translate into actionable controls
• Manage ongoing HIPAA Privacy and Security compliance programs: gap assessments, remediation tracking, and workforce training coordination
• Support SOC 2 Type II, HITRUST CSF, and other applicable audit cycles
• Support TPRM activities including vendor risk assessments and vendor tiering maintenance

Requirements:

• Bachelor’s degree in Information Security, Healthcare Administration, Computer Science, or related field
• A minimum of 5 years’ experience in GRC, compliance, or information security
• A minimum of 3 years’ experience in healthcare or health-tech industries
• Direct & Hands-on experience with the following:
• Building or significantly maturing a risk register
• Performing or supporting HITRUST and/or SOC 2 audits
• HIPAA Privacy/Security Rule compliance programs
• NIST CSF or ISO 27001
• AI Specific Risk Management Frameworks such as NIST AI RMF or Similar frameworks

Certifications (Preferred)

• CISA, CRISC, CISSP, CHC, or CHPC highly desirable
• HITRUST CCSFP a strong plus

Technical Skills

• Proficiency with a GRC platform (Vanta, Drata, ServiceNow GRC, OneTrust, or equivalent)
• Working knowledge of AI/ML risk concepts and the NIST AI RMF
• Experience with third-party risk tools and structured vendor assessment workflows
• Ability to read, interpret, and operationalize regulatory guidance

 Strong Candidates Will:

• Be energized by building. This role has significant greenfield scope, and the best candidates will see that as an opportunity, not a gap
• Move with urgency and precision, flagging risk before it becomes an issue
• Balance rigor with pragmatism, enabling the organization to move fast while staying protected
• Communicate clearly to both technical and non-technical audiences without losing nuance
• Bring genuine curiosity about AI and emerging technology governance
• Embody Lantern’s LIGHT pillars — Logic, Inclusion, Grit, Humanity, Truth — in every interaction

Benefits

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

The role 

We’re seeking a Field Marketing Manager to design and execute localized marketing programs that connect our NeoCloud AI infrastructure solutions with high-potential customers, partners, and alliances.

In this role, you’ll own the regional go-to-market (GTM) plan for the West Coast U.S., collaborating with sales, partner, and product teams to build awareness, drive demand, and accelerate revenue within one of our fastest-growing territories.

Location: This is a remote role within the United States. Candidates located in the San Francisco Bay Area, Denver (CO), Austin (TX), or the DFW Metro are preferred. Strong candidates based in the Central, Mountain, or Pacific time zones will also be considered.

Your responsibilities will include: 

Regional Strategy & GTM Planning

• Define and execute your regions field marketing plan aligned to Nebius’ North America GTM strategy, revenue targets, and AI-cloud growth objectives.
• Identify priority verticals and clusters in the region (enterprise AI, finance, healthcare, retail, and media & entertainment).
• Translate global campaigns into localized programs that resonate with technical and executive buyers.

Sales & Partner Alignment

• Partner with regional sales leaders, solutions architects, and business development to align on pipeline coverage, target accounts, and co-marketing initiatives.
• Collaborate closely with Vertical GTM team leads to ensure field programs reinforce priority industries, solution narratives, and territory goals—creating a unified GTM motion from awareness through pipeline conversion.
• Support regional account-based marketing (ABM/ABX) motions for top enterprise and strategic accounts.

Field & Partner Campaign Execution

• Plan, manage, and execute regional events, workshops, executive roundtables, and innovation labs showcasing Nebius’ AI/ML and NeoCloud capabilities.
• Build developer and data-science community engagement through hackathons, meetups, and partnerships with regional universities and AI accelerators.
• Manage regional sponsorships and Nebius presence at high-impact industry conferences (e.g., AWS re:Invent, NVIDIA GTC, MIT AI Conference).

Insights & Measurement

• Track and analyze field performance metrics: leads generated, pipeline influenced, partner-sourced opportunities, and ROI.
• Capture real-time feedback and customer insights from the field to help shape product positioning, content strategy, and global messaging.
• Use intent data and CRM analytics to optimize account targeting and campaign efficiency.

Budget & Operations

• Own your regions field marketing budget—forecast spend, manage vendors, and ensure strong ROI discipline.
• Maintain operational excellence through collaboration with demand generation, marketing operations, and creative teams.

Cross-Functional Collaboration

• Work closely with Product Marketing, Partner Marketing, and Sales Enablement to deliver cohesive storytelling and thought leadership in the field.
• Contribute to global initiatives while serving as the regional voice to headquarters—advocating for opportunities, challenges, and innovations.

We expect you to have: 

• 7+ years of B2B field and partner experience in cloud, AI, or enterprise tech, with proven pipeline impact.
• Deep understanding of AI/ML infrastructure, data platforms, and cloud ecosystems (AWS, Azure, Google Cloud, or similar).
• Proven ability to plan and execute localized marketing programs across diverse markets in the U.S.
• Hands-on experience with account-based marketing, partner co-marketing, and demand-generation tools (Salesforce, Marketo, HubSpot, 6sense).
• Strong analytical mindset; comfortable with dashboards, campaign metrics, and ROI analysis.
• Exceptional communication, collaboration, and stakeholder-management skills across sales, partners, and technical audiences.
• Bachelor’s degree in marketing, Business, or related field (MBA preferred).
• Willingness to travel 25 - 30% for events, team and community engagements.

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $150k - $185k OTE based on your experience.

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.  

Technical Director, Generative AI

About the Role

As a Technical Director, you’ll collaborate with cross-functional teams to define processes and to deliver high-quality results through well-managed, on time and on budget projects. This is a leadership role combining technical strategy, hands-on technical expertise, and execution. You will be responsible for discovery, shaping solutions, prototyping, guiding creative technologists and developers, owning the technical delivery and scale automation frameworks for our global clients.

We are looking for a Technical Director to lead the technical direction, planning, and delivery of AI-driven production work across key client accounts. This role sits within our Transformation and Applied AI team, focused on building and scaling AI pipelines for image, video, text and content generation. Technical Director acts as the technical counterpart to Solution Leads (Producers) and Creative Directors, ensuring what is sold can be realistically delivered from a technical perspective. You will define how things get built, estimate technical efforts, and assemble the right technical team to execute.

This role is focused on AI pipelines for image and video generation at scale, workflow automation and content production systems, model usage, fine-tuning, and dataset considerations, connecting multiple tools, APIs, and systems into production-ready pipelines.

Responsibilities

• Own technical delivery end-to-end: from early estimations through production/development and final delivery.
• Define technical approaches for AI-driven projects (image/video generation, automation pipelines, model training/fine-tuning).
• Translate ambiguous briefs into clear technical plans, asking the right questions around scope, assets, datasets, outputs, and constraints.

Partner closely with Solution Leads and Creative Directors to align scope, timelines, and feasibility

• Know how to assemble the right project team with required technical skills (e.g. Creative Technologists, ML engineers, backend developers).
• Lead and guide technical teams during production, ensuring quality, avoiding scope creeps, and focus on the right technical direction.
• Validate feasibility and manage trade-offs between budget, timeline, and technical complexity.
• Identify risks early and communicate constraints, assumptions, and dependencies clearly.
• Review and guide implementation of AI pipelines (e.g. ComfyUI workflows, API integrations, automation systems).
• Ensure technical quality and QA alignment, working with QA teams where needed.
• Be client-facing when required, presenting technical approaches, documentation, and progress.

About You

The essentials

• 1+ years in a Technical Director, Technical Lead, or similar production-focused leadership role.
• 5+ years of hands on experience in one of the focus areas: Creative Technology, Software Development, 3D/VFX, Real-time Engines.
• Solid understanding of machine learning fundamentals - model architectures, training vs. inference, and fine-tuning methods, and apply them in real-world generative AI pipelines.
• Strong experience in scoping, estimating, and delivering technical projects.
• Hands-on experience building or working with AI / generative pipelines, beyond text to image.
• Experience integrating APIs, automation workflows, or multi-step pipelines.
• Ability to translate high-level ideas into concrete technical plans.
• Strong understanding of production realities: timelines, budgets, resourcing.
• Comfortable leading technical teams and making architectural decisions.
• Ability to operate in ambiguous environments and bring structure quickly.
• Strong communication skills and ability to push back on unrealistic expectations.

Not a must, but a plus

• Academic or research background in Machine Learning, Computer Science, or related fields.
• Certifications in Machine Learning, Deep Learning, or Engineering.
• Experience leading cross-functional technical teams (e.g. software engineers, ML engineers, creative technologists, AI artists).
• Background in creative technology, real-time systems, or virtual production pipelines.
• Experience building or supporting scaled content generation systems or working with CPG / enterprise clients.
• Experience in marketing campaign execution (e.g. media, email) and understanding of basic performance metrics.

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.

#LI-hybrid #LI-MJ1 GH9695

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

Title: Lead / Principal Product Manager, AI 

Location: Austin, TX / Dallas, TX / Morristown, NJ / San Jose, CA (Hybrid) 

Reporting to: Chief Product Officer 

*This role can be filled at either the Lead or Principal level. Final leveling will be determined based on the candidate's depth of experience, scope of past impact, and demonstrated leadership. 

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: 

Hippo is looking for an AI product leader to identify, build, and scale high-impact AI-powered products across our business — driving growth, operational excellence, and seamless customer experiences. 

This is a hands-on, 0→1 builder role. You'll work with small, scrappy cross-functional teams to move quickly from problem discovery to prototype to production. Success in this role means shipping real AI solutions, learning fast, and translating emerging technology into measurable business impact. 

You'll partner closely with Product, Engineering, Data, Operations, and Business teams to ensure AI is deployed responsibly, transparently, compliantly, and effectively. 

You will be the champion and evangelist of AI internally with both technical and non-technical teams to continue to unlock more use cases and value across the organization. 

If you are passionate about harnessing AI to transform operations, risk management, and customer experiences into best-in-class capabilities, this is the role for you. 

What You'll Do: 

• Identify and own high-impact AI opportunities across Hippo’s products and operations, grounded in real customer and business problems across service, claims, underwriting, finance, product teams, and end-customers 

• Build and ship AI-powered products — working hands-on with engineers, data scientists, and third-party tools to prototype, test, deploy, and iterate in production 

• Lead end-to-end product execution, from problem framing and success metrics through launch, adoption, and continuous improvement 

• Make smart build vs. buy decisions and define MVP scopes that balance speed, quality, and long-term scalability 

• Design effective human-AI workflows that are intuitive, trustworthy, and aligned with how teams actually work 

• Champion responsible AI practices, partnering with the AI Committee to ensure transparency, explainability, and compliance 

• Evangelize and build momentum through delivery, then help teams adopt and extend successful AI solutions across the organization 

Must Haves: 

Required for both levels: 

• Demonstrated ability to translate ambiguous business problems into shipped solutions with measurable impact 

• Comfort rolling up their sleeves to shape MVPs, workflows, experiments, and early production systems 

• Thinks end-to-end from data inputs to model outputs to user experience and business outcomes 

• Passion for emerging technologies and hands-on experience with latest AI models & tools. Excited to help Hippo build trust-centered AI experiences 

• Experience shipping products from early concept through launch and iteration in real-world environments 

• Strong understanding of the AI/ML product lifecycle (data readiness, modeling, deployment, monitoring, iteration) 

• Bachelor's degree in Computer Science, Data Science, Statistics, or equivalent practical experience 

For the Lead Product Manager level: 

• 6+ years of product management experience building high-impact products and features, with at least 1 year working with AI products 

• 2+ years of product management experience in insurance or other regulated financial services 

For the Principal Product Manager level: 

• 8+ years of product management experience building high-impact products and features, with at least 2 years working hands-on with AI products 

• Proven track record of setting product strategy, influencing senior leadership, and driving cross-functional alignment at scale 

Nice to Haves: 

• Advanced degree (MS or MBA) 

• 2+ years of product management experience in insurance or other regulated financial services. 

• Experience with AI governance, model risk management, or explainability frameworks 

• Insurance certifications (CPCU, ARe) or analytics certifications 

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: 

• 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 

The San Jose, CA and Morristown, NJ base pay ranges for this role are: 

• Principal Product Manager: $175,000 - $262,000 

• Lead Product Manager $160,000 - $230,000 

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. 

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

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, AI Risk and Operations 

We are seeking a Vice President, AI Risk and Operations on our AI Governance Team who will play a critical role in maturing and scaling Accordion's enterprise-wide AI Governance risk and operations program. In this role, you will serve as an internal governance practitioner and cross-functional advisor, embedding AI governance policies, procedures, and controls across our operating model for internal AI solutions — with the expectation that this scope will evolve to include client-facing engagements over time. Drawing on your experience with AI policy, frameworks, and risk program design, you will translate complex governance requirements into actionable, scalable implementation systems. This position requires seamlessly bridging the gap between cutting-edge AI development and responsible governance, partnering with senior stakeholders across Practices, Technology, Legal, and Emerging Technology to enabling trusted use and development of AI.  

This position can be based in our New York City or Chicago offices 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. 

What You’ll Do 

Governance & Frameworks 

• Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations 
• Design and operationalize scalable, end-to-end governance processes across the AI lifecycle  
• Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards  
• Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization 

Cross-Functional Collaboration 

• Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows 
• Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain   
• Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation 
• Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements 
• Maintain the internal AI risk register and escalate issues through appropriate governance channels 
• Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions 

Monitoring & Oversight 

• Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products 
• Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews 
• Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls 
• Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance 
• Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans 
• Stay current on AI regulation, industry standards, and emerging best practices 

Internal Enablement (Evolving) 

• Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization 
• Contribute to Accordion's Trustworthy AI methodology and internal IP development 
• Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands  

You Have 

• Bachelors degree in Finance, Business Administration, or related field  
• 7+ years’ experience in Risk Operations, Privacy Programs, or PMO/IMO, with at least 3 years directly focused on AI governance or oversight - preferably within professional services, consulting, or PE-backed environments. 
• Demonstrated experience leading complex, multi-jurisdictional integrations and/or global expansion programs, with a track record of building and running structured governance. 
• Strong knowledge 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 operational controls 
• Strong grasp of AI/ML technical risks (e.g., bias, model drift, robustness) and associated controls 
• Strong familiarity with regulatory and operational considerations relevant to cross-border professional services (e.g., data/privacy, employment, tax, licensing), and the ability to operationalize them into business processes. 
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams 
• Comfortable operating in a high-growth, entrepreneurial environment, with a bias toward structure, scalability, and execution discipline. 
• Strong analytical and problem-solving skills  
• AI usage and familiarity required 
• Excellent attention to detail and organizational skills   
• Ability to adapt to changing priorities and work effectively in a dynamic environment   

Preferred Qualifications 

• Experience in Data Risk Management or direct collaboration with AI/ML development teams 
• Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting 
• Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices 
• Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM) 
• Passion for AI and a desire to build a world-class risk management function  

You Are 

• Energized by building and scaling governance programs that make AI deployment safer, more trustworthy, and more compliant — across a dynamic, fast-moving consulting environment 
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams — and can drive decision making and ownership across diverse stakeholders 
• A clear communicator who can translate AI governance concepts, regulatory requirements, and risk findings into actionable guidance for business, technical, and executive audiences 
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations, and can turn frameworks into operational reality 
• An adaptive contributor who embraces the breadth and pace of consulting, working across diverse sectors and practice areas 

The annual salary for this role ranges from: $130,500 to $145,000 + 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

#LI-MM1
#LI-Hybrid
P24885

Role: Key Accounts Auth0 Account Executive  

The Auth0 Account Executive is a specialized product expert responsible for driving the discovery, positioning, and deal strategy for our Auth0 CIAM (Customer Identity and Access Management) solutions within our most strategic, high-value accounts. While the Key Account Director (KAD) owns the overall account relationship and forecast, you are the tactical engine driving Auth0-specific winning tactics and opportunity shaping.

This role requires a deep understanding of the CIAM landscape and the ability to partner effectively across a “One Team” ecosystem. You will act as the subject matter expert to accelerate deal velocity and ensure customers receive the optimal technical solution for their complex identity needs, transitioning seamlessly between high-level business outcomes and technical SKU strategies.

Results: What You Will Achieve

• CIAM Deal Strategy: Lead Auth0-specific discovery and positioning, including the development of SKU strategies and pricing models in conjunction with Auth0 SE specialists to meet complex customer requirements.
• Opportunity Shaping: Partner closely with the KAD on pipeline generation and the proactive shaping of new opportunities to ensure a robust Auth0 presence within the strategic account portfolio.
• Competitive Positioning: Drive deal execution by maintaining a strong competitive position for Auth0, implementing winning tactics to overcome technical hurdles or market competition.
• Solution Alignment: Collaborate with Principal SEs to validate when Auth0 is the “best-fit” technology for a customer’s specific use case, ensuring high-quality, sustainable customer outcomes.
• Commercial Alignment: Support the KAD in aligning commercial terms and ensuring that all Auth0-specific technical and business requirements are accurately reflected in the final proposal.

Relationships: Who You Will Impact

• Key Account Director (KAD): Act as the primary specialist partner to the KAD, providing the deep product expertise needed to capture CIAM revenue while supporting the KAD’s overall account ownership and forecasting.
• Technical Specialists: Work hand-in-hand with Auth0 SE specialists and Principal SEs to lead CIAM-specific discovery sessions and validate technical fit.
• The Customer: Serve as the dedicated Auth0 subject matter expert during engagements, leading deep-dive discussions on CIAM business outcomes and technical implementation.
• Internal Leadership: Collaborate with Front Line Management (FLM) to ensure alignment and resolve any role friction, maintaining a seamless "One Team" experience for the customer.
• Cross-Functional Teams: Align with the broader account team (Customer Success, Legal, and Finance) to ensure Auth0 messaging and commercials are consistent with the overall strategic account plan framed by the KAD.

Requirements: What You Bring

• Specialized Expertise: Proven track record of selling complex SaaS solutions, with a specific focus on Identity (IAM) or Developer-centric platforms (CIAM experience highly preferred).
• Collaborative Selling: Demonstrated ability to work in a matrixed environment, successfully partnering with account owners to drive specialized revenue.
• Technical Acumen: Ability to translate complex technical requirements into business value and navigate SKU-level pricing and strategy.
• Strategic Execution: Experience navigating multi-million dollar sales cycles within Global or Key accounts, with a focus on deal shaping and competitive displacement.
• Communication: Exceptional presence and the ability to lead technical discovery sessions with both developer personas and executive stakeholders.

#LI- Remote
P24544_3336656

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 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 

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

Strategic Account Executive at Unframe 

Location: Dallas, TX (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

About the Role

As an Enterprise Pre-Sales Systems Engineer at Veeam, you will serve as a trusted technical and strategic advisor to enterprise customers as they navigate some of their most critical technology decisions. You will engage with a wide range of stakeholders — including executives, senior IT leadership, architects, engineers, and IT practitioners — to help them design resilient, secure, and future-ready data platforms that deliver real business outcomes.

This role is built for a technologist who thrives on complexity, curiosity, and impact. You will operate at the intersection of technology strategy, architecture, and real-world operations — engaging deeply in technical design while also influencing business conversations around data resilience, cyber recovery, risk reduction, and modernization. Your ability to connect technical depth with business relevance is what earns trust and drives meaningful change.

You will help customers modernize across on-premises, hybrid, multi-cloud, and SaaS environments, ensuring data resilience, security, and governance are foundational to everything they build.

What You’ll Do

As a Pre-Sales Systems Engineer, you influence decisions that directly affect business continuity, cyber recovery readiness, regulatory posture, and long-term digital transformation. Your work enables organizations to recover faster, operate with confidence, and safely use their data across cloud and platform ecosystems — even under the most challenging conditions.

• Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation.
• Act as a trusted advisor to IT practitioners, engineers, architects, and senior leaders by translating business objectives into secure, resilient, and scalable architectures.
• Deliver compelling technical demonstrations and decision-maker presentations that clearly articulate business value, cyber risk reduction, and operational outcomes.
• Design and manage proofs-of-concept (POCs) to technical closure, aligned to customer success criteria and operational realities.
• Collaborate with customers and partners to define architectural strategies supporting data resilience, ransomware recovery, compliance, and hybrid-cloud adoption.
• Create tailored proposals and contribute to enterprise-scale RFP and RFx responses.
• Maintain strong awareness of industry trends, emerging threats, and competitive positioning to effectively represent Veeam in business discussions.
• Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.

What You’ll Bring

• 5+ years of experience in pre-sales systems engineering, solutions architecture, or similar technical leadership roles, with a strong focus on large enterprise environments.
• Proven success leading complex, multi-stakeholder sales cycles, including discovery, solution design, POCs, and executive-level engagements.
• Strong technical background across data resilience, infrastructure platforms, virtualization, cloud services, networking, and security.
• Working knowledge of data security, privacy, and governance, including regulatory and compliance considerations relevant to enterprise customers.
• Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
• Excellent verbal and written communication skills, with proven public presentation experience delivering compelling messages to executives, senior IT leadership, and large technical or industry audiences.
• Self-motivated, high-energy technologist who can learn quickly, adapt, and operate effectively in fast-moving enterprise environments.

Bonus Skills

• Experience with cloud and SaaS platforms, including AWS, Microsoft Azure, and Google Cloud Platform.
• Strong working knowledge of Linux and Windows operating systems, including administration, troubleshooting, and performance considerations in enterprise deployments.
• Solid understanding of networking fundamentals and architectures, including TCP/IP, DNS, routing, firewalls, load balancing, and network security concepts as they relate to data protection and recovery.
• Hands-on experience across enterprise infrastructure domains such as virtualization platforms (VMware vSphere, Microsoft Hyper-V, Nutanix AHV), enterprise storage platforms, identity and access management, and Kubernetes-based environments commonly found in modern hybrid and multi-cloud architectures.
• Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors.
• Relevant technical or industry certifications (cloud, security, architecture).
• Observability, monitoring, and operational tooling that supports resilience and recovery workflows
• Containerized and cloud-native application platforms, including Kubernetes data protection and recovery considerations
• SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS services)
• API-driven automation, scripting, and infrastructure-as-code concepts
• Cyber recovery and clean-room architectures
• Data governance, classification, and policy-driven protection models

#LI-Remote

#LI-JW1

#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.

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

At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo. We are looking for a highly experienced presales solution consultant who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide and act.

Job Description

As a core Solution Consultant, you will join our presales team supporting our enterprise customers in the Energy, Utilities and Manufacturing industries. You will be responsible for all aspects of the technical sales process by working directly with customers and collaborating with sales, domain specialists, business value consultants, product managers, customer success, and partners.

Why this Role Matters

• Decision Making is moving fast in the AI era. Business leaders are no longer looking for just cost control—they need forecasting automation, cross-functional alignment, and real-time insights. You’ll help them get there.
• You’ll work with decision-makers at leading customers influencing outcomes that impact thousands of employees and billions in revenue.
• You’ll represent one of the fastest-growing enterprise AI platforms, with a commission structure and career path to match your ambition.
• You’ll be aligned to a select number of accounts to build deep relationships and expand our solutions across multiple lines of business.
• You’ll be working on the cutting edge of innovation to bring to life our vision of AI-driven scenario planning and analysis across a connected enterprise.

Your Responsibilities and Impact

• Partner with account executives on technical strategy and sales process for accounts in your territory.
• Be the technical solution expert across platform capabilities, including AI, data modeling and planning applications.
• Lead discovery sessions that move beyond features and functions to uncover critical business needs.
• Design and deliver tailored, narrative-driven demos that directly address customer pain points and showcase a clear vision for their future.
• Execute proof-of-concept workshops that prove Anaplan's value in the customer’s own context.
• Serve as the voice of the customer to our product management teams, ensuring your insights from the field shape the future of the Anaplan platform.
• Coordinate and align specialist and product teams to help position multi-product solutions and mature complex opportunities to close.
• Develop a multi-year technology vision and roadmap with your customers in cooperation with the Anaplan Customer Success team.

Your Qualifications

• 7+ years of experience in a presales, solution consulting, or business transformation role (SaaS/enterprise software preferred).
• Experience working with companies in the Oil and Gas, Manufacturing or Automotive industries
• Know how to collaborate with account executives and own the technical sales process, including account strategy, discovery, demos, solution roadmaps and other technical validation steps.
• Strong grasp of value-based selling and storytelling.
• Skilled with problem solving at the intersection of technology and business.
• Proven ability to make complex ideas sound simple, clear, and persuasive with experience in public speaking.
• Familiarity with Energy, Utilities, Manufacturing or Automotive specific processes in finance and supply chain planning.
• Knowledge of enterprise AI platforms, GenAI, Agentic frameworks, machine learning, and data integration.
• Hands-on experience with enterprise planning processes and solutions (e.g. Finance, Supply Chain, Workforce, Sales Performance) preferred
• Familiarity with EPM, CPM, BI, or ERP systems is a strong asset

As Senior Technical Program Manager you will be responsible for;

• Drive execution of a complex, multi‑phase advanced robotics program spanning hardware, embedded software, applied AI/ML, and system integration workstreams.
• Serve as the central interface across engineering, applied science, and operations teams to ensure alignment, prioritization, and successful delivery of program milestones.
• Translate technical architecture decisions, research outcomes, and engineering risks into clear execution plans, schedules, and measurable deliverables.
• Lead cross‑functional reviews including architecture evaluations, design critiques, and risk assessments with senior technical stakeholders.
• Develop and maintain integrated master schedules, identifying critical path dependencies, schedule risks, and resource constraints across multiple concurrent workstreams.
• Manage program execution using Agile methodologies, including backlog structuring, sprint planning, and performance tracking through metrics such as velocity and burndown.
• Build and maintain program dashboards and reporting frameworks that provide visibility into schedule performance, financials, and overall program health.
• Utilize data‑driven approaches to guide decision‑making, including defining KPIs, analyzing trends, and communicating insights to leadership.
• Apply modern tools and automation techniques to improve program efficiency, including AI‑augmented workflows for reporting, documentation, and knowledge management.

Qualifications;

• Bachelor’s degree in Engineering, Computer Science, or a related technical discipline; advanced degree preferred.
• 8+ years of Technical Program Management experience, including 3+ years supporting complex hardware/software integrated programs.
• Strong technical background with the ability to engage in system architecture discussions spanning hardware, software, and firmware domains.
• Familiarity with AI/ML‑enhanced program management techniques, including use of generative AI tools and knowledge management systems.
• Expertise in Agile program execution using tools such as Jira, including backlog management, sprint planning, workflow configuration, and reporting.

Salary Range: $170,000 - $210,000

Location: Onsite in North Reading, MA

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 

About the Role

As Principal Product Manager for Search & Content Understanding, you will define how Crunchyroll connects fans to the anime they love—and helps them discover new stories—through fast, relevant, and data-driven discovery systems. You'll lead initiatives that combine search relevance, metadata enrichment, and content relationships to make discovery more meaningful, efficient, and personalized across our global platforms.

You will partner closely with machine learning engineers, data scientists, and design teams to shape the discovery strategy, guide the roadmap, and build scalable systems that enhance engagement across the Crunchyroll ecosystem. Beyond optimizing search, you'll evolve our content intelligence layer—integrating knowledge graphs, third-party and ML-generated metadata, and relational modeling across our catalog to fuel the future of curation, personalization, and discovery.

In the role of Principal Product Manager, you will report to the SVP Product - Core Services. This is a hybrid role (in office Tuesdays, Wednesdays, Thursdays) based in either Dallas or Los Angeles.

Key Responsibilities

• Search Innovation: Deliver faster, smarter, and more relevant search experiences by combining relevance modeling, semantic understanding, and user intent prediction. Ensure every fan can find what they're looking for—and discover something new—effortlessly.
• Content Understanding and Knowledge Graphs: Develop and expand Crunchyroll's metadata and knowledge graph systems to represent relationships between titles, creators, genres, and themes. Leverage both internal and third-party metadata to improve search, curation, and personalization fidelity.
• AI and ML Collaboration: Partner with ML and data science teams to identify, pilot, and scale new AI-driven approaches to content understanding, query interpretation, and relationship modeling. Contribute to roadmap decisions on how ML systems shape discovery outcomes.
• Discovery Platform Integration: Collaborate across various experiences team including SVOD, Game Vault, Ecomm store, curation, personalization, and engineering teams to ensure that metadata and search systems serve as a shared foundation for all discovery experiences. Drive alignment across tools and surfaces to unify how content is described and surfaced.
• Cross-Platform Enablement: Own the search experience across Crunchyroll's first-party platforms and work with the Partner Integrations team to ensure that the same relevance and metadata principles extend to third-party distribution partners (e.g., Apple, Amazon, Roku).
• Experimentation and Optimization: Champion a culture of data-informed iteration. Design experiments to evaluate model performance, query relevance, and engagement metrics, translating insights into actionable improvements.
• Outcome Accountability: Define and deliver measurable improvements in discovery KPIs such as search success rate, time-to-engagement, catalog depth, and minutes watched from discovery-driven entry points.

About the Team

The Product team at Crunchyroll is dedicated to connecting fans with the anime they love and helping them discover new stories that inspire deeper fandom. We're building a scalable discovery platform that unites curation, personalization, and search under a shared data and metadata foundation. Our work is highly collaborative—partnering with engineering, data science, design, and programming to deliver experiences that delight fans and grow engagement across Crunchyroll's ecosystem.

About You

• Experienced Product Leader: 15+ years in product management, including 5+ years leading search, personalization, or metadata systems in streaming media, large-scale consumer, or content platforms.
• Metadata and Knowledge Graph Expertise: Deep understanding of content modeling, tagging, and knowledge graph architecture, with experience integrating structured and ML-derived metadata into user-facing systems.
• Search and Relevance Fluency: Skilled in the design and optimization of search systems, query understanding, ranking logic, and data pipelines that improve retrieval quality and user satisfaction.
• Metrics-Driven Operator: Proven track record of defining and delivering KPIs tied to engagement, relevance, and catalog utilization.
• Strategic Communicator: Able to articulate a discovery systems vision that balances innovation with measurable business outcomes.
• Collaborative Partner: Experienced in leading cross-functional collaboration with ML, engineering, design, curation, and data science to deliver unified discovery capabilities.
  
  

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:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid 

About the Role

As Principal Product Manager for Search & Content Understanding, you will define how Crunchyroll connects fans to the anime they love—and helps them discover new stories—through fast, relevant, and data-driven discovery systems. You'll lead initiatives that combine search relevance, metadata enrichment, and content relationships to make discovery more meaningful, efficient, and personalized across our global platforms.

You will partner closely with machine learning engineers, data scientists, and design teams to shape the discovery strategy, guide the roadmap, and build scalable systems that enhance engagement across the Crunchyroll ecosystem. Beyond optimizing search, you'll evolve our content intelligence layer—integrating knowledge graphs, third-party and ML-generated metadata, and relational modeling across our catalog to fuel the future of curation, personalization, and discovery.

In the role of Principal Product Manager, you will report to the SVP Product - Core Services. This is a hybrid role (in office Tuesdays, Wednesdays, Thursdays) based in either Dallas or Los Angeles.

Key Responsibilities

• Search Innovation: Deliver faster, smarter, and more relevant search experiences by combining relevance modeling, semantic understanding, and user intent prediction. Ensure every fan can find what they're looking for—and discover something new—effortlessly.
• Content Understanding and Knowledge Graphs: Develop and expand Crunchyroll's metadata and knowledge graph systems to represent relationships between titles, creators, genres, and themes. Leverage both internal and third-party metadata to improve search, curation, and personalization fidelity.
• AI and ML Collaboration: Partner with ML and data science teams to identify, pilot, and scale new AI-driven approaches to content understanding, query interpretation, and relationship modeling. Contribute to roadmap decisions on how ML systems shape discovery outcomes.
• Discovery Platform Integration: Collaborate across various experiences team including SVOD, Game Vault, Ecomm store, curation, personalization, and engineering teams to ensure that metadata and search systems serve as a shared foundation for all discovery experiences. Drive alignment across tools and surfaces to unify how content is described and surfaced.
• Cross-Platform Enablement: Own the search experience across Crunchyroll's first-party platforms and work with the Partner Integrations team to ensure that the same relevance and metadata principles extend to third-party distribution partners (e.g., Apple, Amazon, Roku).
• Experimentation and Optimization: Champion a culture of data-informed iteration. Design experiments to evaluate model performance, query relevance, and engagement metrics, translating insights into actionable improvements.
• Outcome Accountability: Define and deliver measurable improvements in discovery KPIs such as search success rate, time-to-engagement, catalog depth, and minutes watched from discovery-driven entry points.

About the Team

The Product team at Crunchyroll is dedicated to connecting fans with the anime they love and helping them discover new stories that inspire deeper fandom. We're building a scalable discovery platform that unites curation, personalization, and search under a shared data and metadata foundation. Our work is highly collaborative—partnering with engineering, data science, design, and programming to deliver experiences that delight fans and grow engagement across Crunchyroll's ecosystem.

About You

• Experienced Product Leader: 15+ years in product management, including 5+ years leading search, personalization, or metadata systems in streaming media, large-scale consumer, or content platforms.
• Metadata and Knowledge Graph Expertise: Deep understanding of content modeling, tagging, and knowledge graph architecture, with experience integrating structured and ML-derived metadata into user-facing systems.
• Search and Relevance Fluency: Skilled in the design and optimization of search systems, query understanding, ranking logic, and data pipelines that improve retrieval quality and user satisfaction.
• Metrics-Driven Operator: Proven track record of defining and delivering KPIs tied to engagement, relevance, and catalog utilization.
• Strategic Communicator: Able to articulate a discovery systems vision that balances innovation with measurable business outcomes.
• Collaborative Partner: Experienced in leading cross-functional collaboration with ML, engineering, design, curation, and data science to deliver unified discovery capabilities.
  
  

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:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid 

About the Team:

The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight.

Responsibilities: 

• Safely operate autonomous trucks on the public roads to support development testing and commercial pilot operations.
• Haul commercial freight between customer locations and/or meet points.
• Provide feedback on system performance to advance self-driving technology.
• Utilize internal tools on a smartphone/tablet to track work assigned and completed. 
• Uphold industry-leading safety standards, remaining compliant with internal benchmarks.
• Remain alert and attentive while operating during extended stretches of autonomy.

• Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing
• $0 Healthcare Premiums: Stack covers 100% of Medical, Dental, and Vision for you and your family
• Retirement: 401(k) plan with generous company match and annual profit-sharing contribution
• Time Off: Open PTO policy and 11 paid company holidays
• No-Touch Freight: 100% no loading or unloading of trailers

Qualifications & Safety Standards: 

• Experience: 7+ years of Class A driving experience
• License: Valid Class A CDL (Airbrake Endorsement) and current DOT Medical Certificate
• Zero-Tolerance Safety Record: We require a strictly clean MVR. You must have no history of:
  • Reckless Driving, Leaving the scene of an accident, or License suspensions/revocations
  • No Moving Violations within the last 7 years, including: Speeding, running red lights/stop signs, failure to yield, tailgating, improper turns/lane changes, distracted driving, seat belt violations, or unlawful passing (school buses/railroad crossings)
• Testing: Must pass pre-employment drug/alcohol screening and sleep apnea screening

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. 

Transformation

With the increase in complexity of the business environment and transactions, CFOs of private equity backed companies are increasingly being looked towards to drive strategic insights for their business.  Finance organizations are no longer simply result reporters, but rather, they couple these results with forward looking data to provide strategic insights which are leveraged to make business decisions.  Efficiency of process and meaningful control environments allows for speed of financial reporting with increasingly accurate measures, leaving more time for the finance team to add future enterprise value, rather than look backwards.

Accordion’s Transformation Practice is comprised of a dedicated team providing strategic advice to support PE backed portfolio companies on a wide range of transactions and events, including profitability improvements, finance process optimization, liquidity enhancements and digital transformation transaction.  We are doers and problem solvers – making sense of complexity and bolstering sponsors’ value creation thesis’s.

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.

What You’ll Do:

• Develop supply chain strategies to support clients’ business goals.
• Build and maintain strong relationships with key client stakeholders.
• Understand clients’ business needs and challenges to provide tailored supply chain solutions.
• Lead and oversee consulting projects, ensuring they are delivered on time, within scope, and budget.
• Mentor and develop junior consultants and planners, fostering a culture of continuous learning and development.
• Create a collaborative environment that encourages innovation and knowledge sharing.
• Coordinate and manage teams of consultants and analysts to execute project tasks.
• Design and implement supply chain models/processes that support business capabilities, operational requirements, balance cost, efficiency, and service level objectives.
• Analyze large sets of data to identify trends and make informed recommendations.
• Develop forecasting models to predict supply and demand, optimize inventory levels and reduce costs.
• Utilize advanced analytics and machine learning tools to enhance decision-making processes.
• Work with sales and marketing teams to incorporate market intelligence, customer insights, and promotional plans into demand forecasts.
• Determine optimal inventory levels and reorder points to balance supply with demand.
• Develop strategies for managing inventory across various locations and stages in the supply chain.
• Develop strategies to minimize shortages and ensure adequate inventory levels without overstocking.
• Optimize inventory levels across the supply chain to reduce costs and improve cash flow.
• Employ best practices, tools, and technologies to improve efficiency and accuracy in supply chain planning.
• Analyze current supply chain processes from procurement to distribution.
• Identify bottlenecks and implement solutions in inventory management, procurement, production planning, and logistics.
• Help select, implement and optimize Supply Chain management systems such as ERP, Warehouse Management Systems (WMS), and advanced planning software.
• Train staff in new technologies and processes, ensuring adoption and proper use.
• Configure software settings to align with the company's supply chain processes.
• Work closely with various departments (e.g., production, procurement, logistics) to ensure supply chain strategies align with overall business goals.
• Communicate with suppliers and partners to improve supply chain collaboration and integration.
• Negotiate contracts and manage supplier performance to ensure they meet quality and delivery standards.
• Identify potential risks in the supply chain and develop strategies to mitigate them.
• Prepare contingency plans to manage supply chain disruptions.
• Train company staff on new supply chain processes and technologies.
• Develop materials and deliver presentations to educate stakeholders on supply chain best practices.
• Continuously assess supply chain performance and implement improvements.
• Develop key performance indicators (KPIs) to measure supply chain efficiency.
• Stay updated with industry trends, challenges, and advancements in supply chain management.
• Participate in professional organizations or networks related to supply chain management.
• Travel to client site as needed.

You Have:

• A Master's degree in Supply Chain Management, Operations Research, or Business Administration, or a minimum of 10-15 years of experience in supply chain management, with a portion in a leadership role.
• Proven track record in managing supply chain projects and delivering successful outcomes.
• Experience in a consulting environment, demonstrating capability in client management, project delivery, and team leadership.
• Strong strategic planning skills with the ability to see the big picture and drive changes in complex systems.
• Exceptional leadership skills, capable of leading and motivating teams to achieve business goals.
• Advanced analytical skills with a solid proficiency in solving complex problems and optimizing supply chain processes.
• Experience with supply chain modeling and simulation tools.
• Excellent communication skills, both written and verbal, to effectively articulate ideas, negotiate with, and influence stakeholders.
• Strong interpersonal skills to manage diverse teams and work collaboratively with clients and stakeholders.
• Proficiency in supply chain management software such as SAP SCM, Oracle SCM, or other ERP systems.
• Innovative Thinking: Ability to innovate and drive new solutions for supply chain issues.
• Capable of handling high-pressure situations and making decisions under deadlines.
• Ethical Judgment: Strong ethics and transparency in handling sensitive data and making decisions.

You Are:

• A self-starter with a strong work ethic
• A leader of others; you lead by example
• A strong team player, able to work with team members across all levels
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing).
• Excited to be part of a growing team, with a focus on driving future growth
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies
• Passionate about delivering exceptional client service
• Someone who enjoys mentoring others and doing meaningful work
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture

The annual salary for this role ranges from: $190,000 to $210,000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

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

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

#LI-RM1

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

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 an AI Product Manager to join one of Accordion’s 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 are the translation layer between client problems and AI system design. You don’t manage Jira tickets, you shape what gets built and why. You’ll run discovery sessions, write tight requirements, and keep sprints moving at a pace that only works if you’re using AI to think faster, write better, and communicate more clearly.

We move at sprint pace, not quarter pace. If you want to own outcomes end-to-end, work directly with PE clients, and build things that matter in finance, this is the role.

What You’ll Do

• Interface with executive clients, garner trust in our services, and fill in your own knowledge gaps in real time.
• Translate ambiguous client problems into clear engineering requirements: PRDs, user stories and functional specs (and do it fast)
• Run client discovery sessions and earn trust quickly, including with CFOs and PE operators
• Own sprint planning and delivery coordination across your pod’s AI engineers and data scientists
• Define success criteria and KPIs for AI-powered features before they are built, not after
• Identify and communicate when an AI system isn’t performing reliably; bridge the gap between technical diagnosis and client-facing communication
• Use AI tools for 50%+ of your written output: requirements, stakeholder communications, research, and sprint planning
• Travel to client site as needed

Success in the First 6 Months

• Lead requirements and delivery coordination for at least one end-to-end AI engagement, from discovery through production
• Establish a reputation with your pod and with clients as someone who can run a room, write a tight PRD, and hold a sprint together
• Demonstrate materially faster output because of how you use AI tools, not just that you use them
• Show that you understand AI system behavior well enough to write requirements that aren’t naive about what LLMs can and can’t do

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
• 3–6+ years of PM or delivery management experience in a technical or AI product context
• PE or finance domain experience: FP&A, financial close, ERP systems, or finance transformation programs
• Background in consulting or professional services delivery
• Experience with the commercial dimension of AI products—thinking about adoption, product-market fit, and client value capture, not just delivery
• Demonstrated ability to translate messy, ambiguous business problems into clear engineering requirements
• Experience working directly with engineers on AI/ML or data-intensive products
• Strong written communication skills, you can write a tight PRD, user story, or functional spec (and you can do it fast)
• Comfort with iterative, sprint-based delivery under real time pressure. The world is changing around us, and you’ll drive our products as an agent of change.

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

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. 

The Role

We’re looking for a Technical Recruiter who can own full-cycle hiring for Accordion’s CFO Technology, and Data, Analytics & AI practices. This is not a generalist recruiting seat. The right person has direct experience hiring AI/ML engineers, data scientists, and technical product managers in a competitive market. They know what a strong GitHub profile looks like, they can tell the difference between a candidate who uses AI tools daily and one who lists them as keywords, and they’re comfortable engaging deeply technical hiring managers as a true partner.

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, blending the best of both worlds for efficiency and collaboration. Ideal candidates should be local to the desired locations.

This position is not eligible for immigration sponsorship.

What You’ll Do:

As part of our lean Talent Acquisition team, you will:

• Partner with practice leadership and hiring managers to define requirements, calibrate on candidate quality, evolve interview processes, and provide market-informed recruiting strategy
• Build and run sourcing strategies that go beyond LinkedIn: GitHub-based sourcing, technical communities, niche platforms, and referral networks
• Evaluate and recommend new sourcing tools as the market evolves
• Screen candidates for genuine AI-first technical depth, not just keyword matches
• Track and manage pipeline in Greenhouse. Use data to inform sourcing strategy, identify bottlenecks, and report progress to stakeholders
• Manage offer details, approvals, and comp negotiations in coordination with senior leadership
• Provide market intelligence on AI/ML talent supply, comp trends, and competitive landscape to hiring managers and leadership
• Integrate Accordion’s employee value proposition and brand strategy into all recruitment activity at all levels across all platforms

You Have:

• 3+ years of technical recruiting experience with a meaningful portion spent hiring AI/ML engineers, data scientists, or adjacent technical roles
• Demonstrated ability to source and close passive candidates in a competitive AI talent market
• Hands-on experience with GitHub-based sourcing or other technical signal evaluation beyond LinkedIn profiles
• Familiarity with modern AI/ML tooling and frameworks (enough to have informed conversations with candidates and hiring managers about their work)
• Proficiency with Greenhouse or a comparable ATS and LinkedIn Recruiter
• Strong judgment on candidate quality, including an eye for red flags and fabrication in technical resumes
• Thrives in a fast-paced, high-growth environment where priorities shift and speed matters
• Uses AI tools in your own recruiting workflow (we practice what we preach)

Preferred Qualifications:

• Experience recruiting in consulting, professional services, or PE-backed companies
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Familiarity with the CFO Technology ecosystem: ERP (NetSuite), CRM (Salesforce) and CPM/EPM (Anaplan, Adaptive, OneStream, BlackLine, FloQast, Pigment, Oracle Cloud EPM)
• Agency recruiting background (you know how to hunt, not just post and pray)
• Experience building or scaling a recruiting function, not just inheriting one

Who You Are:

• Technically fluent enough to evaluate signal. You don’t need to code, but you recognize meaningful open-source contributions and can spot inflated experience
• A natural sourcer—you proactively find top candidates rather than waiting for applicants
• Direct and low-ego. You give honest assessments, even when it means pushing back on hiring managers
• Data-driven. You track pipeline metrics, understand conversion rates, and adjust your approach accordingly
• Highly organized under pressure, able to manage 8–10+ open roles simultaneously
• A strong writer. Your outreach is specific, concise, and never feels templated
• Entrepreneurial and comfortable operating in a fluid, flat organization
• A collaborative team player who works effectively across all levels

Salary: $100,000 to $150,000 + benefits + bonus

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

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

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

#LI-BS1

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Role Overview
We are seeking a seasoned Enterprise Account Executive with 10+ years of experience selling enterprise software into insurers and large carriers. This role is responsible for driving new business growth, building executive-level relationships, and positioning Liberate as the trusted partner for insurers looking to modernize and innovate.

This is a quota-carrying role with direct access to Liberate’s leadership, product, and customer success teams.

*Location: Columbus, Chicago, Dallas, Atlanta, Miami, Los Angeles, San Francisco, or Boston hybrid role (2 day/week in-office) 

Key Responsibilities

• Own the full enterprise sales cycle: prospecting, qualification, solution positioning, negotiation, and close.
• Develop and execute a territory/account plan focused on top-tier insurers and carriers.
• Build and maintain C-level relationships across business (Claims, Underwriting, Operations) and technology (CIO, CTO, CDO) functions.
• Collaborate with Solutions Engineering and Product to tailor AI-driven demos and proofs-of-concept.
• Navigate complex procurement processes in insurance enterprises, including RFPs and multi-stakeholder evaluations.
• Achieve and exceed quarterly/annual sales quotas.
• Contribute customer insights to influence Liberate’s product roadmap.
• Represent Liberate at key industry events, conferences, and roundtables.

Qualifications

Must Have

• Enterprise software sales experience with a strong track record of closing $1M+ ARR deals.
• Proven success selling to insurance carriers, MGAs, or large brokerages.
• Deep understanding of insurance technology ecosystems (policy admin, claims, billing, digital engagement).
• Strong network of relationships in the P&C insurance market.
• Extreme sense of ownership, urgency, and customer obsession, thriving in a Series-A startup environment.
• Excellent storytelling, executive presence, and negotiation skills.
• Ability to collaborate cross-functionally with product, engineering, and customer success.
  
  

Nice to Have

• Experience selling AI/ML, automation, or cloud-based platforms.
• Background at high-growth startups.
• Familiarity with insurtech disruptors and incumbent vendors (e.g., Guidewire, Duck Creek, Majesco).

Benefits:

• Competitive salary with performance-based commissions and equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment with remote work options
• Collaborative and innovative company culture

Salary Information: $140,000 to $175,000 base salary (depending on experience and location), plus stock and benefits

Lantern is looking for a Director of AI Engineering to lead the strategy, development, and delivery of AI and machine learning capabilities across the organization. This is a senior leadership role responsible for building and scaling a high-performing AI engineering team, setting the technical vision for ML/LLM systems, and ensuring that AI initiatives are tightly aligned with Lantern’s product strategy, care workflows, and business objectives. You will report to the VP of Engineering and work closely with executive leadership to shape how AI transforms care delivery and operations at Lantern.

In this role, you will own the end-to-end AI engineering function—from research and prototyping through production deployment and continuous improvement. You will be expected to move fast, driving rapid proof-of-concept development and delivering production-grade AI solutions on aggressive timelines. You will establish the technical roadmap, define engineering standards, build team culture, and drive execution across multiple concurrent AI initiatives. Your work will directly impact how Lantern leverages intelligent systems to improve patient outcomes, operational efficiency, and scalable growth.

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

Responsibilities:

• Define and execute the AI engineering strategy and technical roadmap, ensuring alignment with Lantern’s product, clinical, and business priorities.
• Build, lead, and scale a high-performing AI engineering team, including hiring, mentoring, performance management, and creating a culture of technical excellence and innovation.
• Drive rapid AI proof-of-concept development, moving from problem identification to working prototypes on aggressive timelines, and shepherding successful POCs into production-grade systems.
• Own the end-to-end lifecycle of ML/LLM systems—from research and experimentation through production deployment, monitoring, and continuous improvement.
• Establish and maintain best-in-class MLOps practices: experiment tracking, reproducibility, CI/CD for models, automated testing, drift detection, observability, and scalable infrastructure on Azure.
• Partner with product, clinical operations, marketing, data, and engineering leadership to identify high-impact AI opportunities and translate them into well-scoped, executable initiatives.
• Lead architecture decisions for ML/LLM systems, ensuring scalability, reliability, security, and compliance with healthcare regulations.
• Establish clear KPIs and success metrics for the AI engineering function, including model performance, delivery velocity, team health, and business impact.
• Champion responsible AI practices across the organization, including fairness, transparency, explainability, and regulatory compliance in healthcare contexts.
• Represent the AI engineering function to executive leadership, providing regular updates on progress, risks, and strategic recommendations.
• Build external visibility for Lantern’s AI capabilities through thought leadership, community engagement, and talent brand building.

Experience & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience; Master’s preferred.
• 10+ years of experience in software engineering or machine learning, with at least 4 years in a leadership role managing ML/AI teams.
• Proven track record of building and shipping production ML/LLM systems at scale, including end-to-end ownership from research through deployment.
• Deep technical expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn), LLM technologies (prompt engineering, RAG, embeddings, fine-tuning, agents), and modern MLOps practices.
• Strong experience with cloud-native ML infrastructure on Azure, including Azure ML, Databricks, and Azure DevOps pipelines.
• Demonstrated ability to rapidly prototype AI solutions and drive them to production on aggressive timelines.
• Experience with big data ecosystems (Spark, Databricks, Delta Lake) and streaming technologies.
• Excellent leadership skills: hiring and developing high-performing teams, managing cross-functional relationships, and influencing at the executive level.
• Strong strategic thinking with the ability to balance long-term vision with near-term execution and business impact.
• Experience operating in regulated environments, ideally healthcare, with an understanding of compliance, data governance, and responsible AI principles.
• Outstanding communication skills with the ability to translate complex technical concepts for non-technical stakeholders and executive audiences.

Strong Candidates will have:

• Experience applying AI/ML capabilities in healthcare, health tech, or other regulated industries.
• Background working with clinical data, claims data, or healthcare operational workflows.
• Experience building and scaling AI teams from the ground up, including defining team structure, processes, and culture.
• Track record of delivering AI-powered products that drove measurable business outcomes.
• Experience with LLM agents, agentic workflows, tool-use orchestration, or multi-step reasoning systems.

Benefits

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

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

CSQ227R88

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

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

The impact you will have:

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

What we look for:

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

Technical Program Manager (Bioinformatics Projects)

Location: Dallas or Austin, TX (hybrid)

Pay Range: $100,000–$115,000

We are so excited you are interested in joining our team! If you are excited to empower science through innovation and possess a deep background in bioinformatics and program execution, we want to hear from you.

About Form Bio

Form Bio provides award-winning software and AI solutions for cell and gene therapy leaders. By combining data, technology and expertise, Form’s solutions accelerate timelines from discovery to clinic by providing drug developers with rapid in silico characterization and optimization of their therapeutics. Form Bio’s proprietary, patent pending AI models are the first of their kind, purpose-built to solve the most complex challenges in genetic engineering and design for gene and nucleic acid-based therapies.

The Role

We're looking for a highly skilled Technical Program Manager (Bioinformatics Projects) to lead and manage a critical, multi-million-dollar software services engagement with an Enterprise Biotech customer. This role sits at the intersection of customer success, scientific delivery, and program execution. You will be the primary owner of the customer relationship, responsible for translating high-level scientific plans into executable timelines and professional deliverables.

Responsibilities

Program Management & Scoping

• Drafting Statements of Work (SOWs): Partner with customer stakeholders to elicit requirements and author detailed SOWs that define scope, deliverables, and timelines.
• Stakeholder Alignment: Manage multiple parallel projects and critical paths, ensuring cross-functional teams (Engineering, AI/ML, and Science) remain aligned on timelines.
• Reporting & Documentation: Build comprehensive customer reports and professional presentations to track progress and demonstrate value.
• Delivery Accountability: Ensure on-time, high-quality delivery of contracted services, tracking milestones and outcomes against contractual commitments.

Customer Relationship & Stakeholder Management

• Relationship Ownership: Own and manage the overall relationship with Enterprise Biotech for a multi-million dollar annual software services contract.
• Proven Success: Demonstrate a track record of managing demanding customers and deliverables with professionalism and focus.
• Communication Excellence: Proven ability to communicate clearly, objectively, and timely across business, scientific, and technical audiences.
• Escalation Management: Act as the primary escalation point for issues, risks, and conflicts, driving resolution and alignment.

Requirements & Product Definition

• Partner with customer stakeholders to elicit, document, and refine detailed requirements, acceptance criteria, and product/feature definitions.
• Ensure requirements are actionable, prioritized, and aligned with both customer goals and engineering constraints.
• Lead iterative review cycles with customers to validate deliverables and ensure expectations are met or exceeded.

Technical & Scientific Collaboration

• Scientific Communication: Translate high-level scientific plans into executable timelines and professional, board-ready slide decks.
• Bioinformatics Integration: Collaborate with life sciences, bioinformatics, and AI/ML specialists to understand domain-specific needs and constraints.
• Cross-Functional Delivery: Coordinate delivery of SaaS product features, cloud infrastructure projects (GCP), and custom data warehouse solutions.

Required Skills/Abilities:

• Bioinformatics Expertise: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, or a related field is required.
• Experience: Proven experience managing complex, enterprise-scale software or technology services engagements.
• Customer Management: Strong executive presence with demonstrated success interacting directly with senior leaders and decision-makers.
• Agile Management: Exceptional project and program management skills, including experience working with agile software engineering teams.
• Resilience: Demonstrated ability to operate effectively in high-stress, high-visibility, and occasionally contentious environments.
• Technical Depth: Experience managing SaaS feature roadmaps and delivering custom software/data platform projects.
• Communication: Superior written and verbal communication skills; ability to translate between technical, scientific, and non-technical stakeholders.
• Location: Must be willing to work on-site in Dallas, TX (hybrid) and travel regularly to customer locations.
• Character: High emotional intelligence, integrity, and a deep understanding of confidentiality regarding proprietary biological data.

Nice-to-Have Qualifications

• Experience working in or with academic research or life sciences organizations.
• Familiarity with AI/ML workflows in scientific or research-driven environments.

At Form Bio, we strive to create an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Form Bio believes that diversity is paramount to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need. 

Business Intelligence & Data Analyst

Location: Hybrid
Type: Full-Time
Reports to: Director of Business Intelligence

We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions.

About MyFundedFutures

MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed.

Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data.

What You'll Be Doing

Data & Reporting

• Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support.
• Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business.
• Build scalable data models using star schema and fact/dimension design principles.
• Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics.

Analysis & Insights

• Analyze trader behavior, including success rates, churn, risk signals, and anomalies.
• Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews.
• Identify early warning signals in risk and operational data before they become larger issues.

Cross-Functional Partnership

• Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights.
• Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why.

What We're Looking For

Required

• 3-5 years of experience in business intelligence, data analytics, or a related field.
• Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning.
• Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting.
• Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation.
• Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures.
• Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks.
• Experience integrating data from APIs, webhooks, or third-party SaaS platforms.
  
  

Nice to Have

• Experience in capital markets, futures trading, prop firms, or brokerage operations.
• Familiarity with drawdowns, leverage, volatility, and liquidation concepts.
• Experience working with financial time-series data.
• Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves.

How You Work

• You translate complex data into clear, practical narratives for non-technical stakeholders.
• You work autonomously and are comfortable taking initiative in a fast-moving environment.
• You bring a strong sense of ownership and follow through on problems from identification to resolution.
• You are comfortable operating in ambiguity and can create structure when priorities are evolving.
• You think critically and creatively, challenge assumptions, and look for better ways to solve problems.

Why MFF

• Help shape how a high-growth trading firm makes decisions.
• Work alongside experienced operators from capital markets, fintech, and trading technology.
• Flexible work environment focused on outcomes and impact.
• Competitive compensation and meaningful room to grow as the company scales.

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

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

The impact you will have:

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

What we look for:

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

CSQ127R318

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

The impact you will have:

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

What we look for:

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

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

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

The impact you will have:

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

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

P-1398

Note: this is a hybrid role and requires ~3 days in the office in Plano, Tx.

Mission 

As a Staff Data & AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data & AI technical solutions for any issues reported by customers - including deep diving into production data pipelines, AI workflows, streaming data ingestion, and more.  You have deep expertise in Data & AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s. You collaborate effectively with other teams, such as product engineering and customer account teams, to deliver results for customers, especially during critical production downtime situations. You provide customers with the guidance, knowledge, and expertise to build performant architectures and reliable services to achieve their strategic objectives using Databricks’ platform. Reporting to a TSE manager, you are a technical expert within a world-class global support engineering organization, recognized for your leadership, technical depth, and ability to troubleshoot even the most complex customer situations.

The impact you will have: 

• Be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers, including escalated and critical scenarios.
• Deep Dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Serve as a customer support advisor - be able to diffuse escalations during incidents directly with customer stakeholders, quickly find mitigations and solutions for advanced use cases, and be strategic at helping prevent future customer issues.   
• Help make the Databricks products simpler to use and customer production environments more stable, such as by influencing Engineering and Backline Support teams to identify areas for product improvements. 
• Be known as a deep technical expert and leader in the Databricks platform and productionizing systems, and mentor others in those areas to spread your knowledge.

What we look for:  

• Minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines. Relevant past Spark experience is mandatory.
• Expertise in SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
• 5 years of hands-on experience in developing two or more Big Data technologies, such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
• Around 3 years of hands-on experience as a technical lead on a Data & AI Engineering team, serving as the go-to person to resolve critical issues.
• Prior Support or customer-facing experience is not required for this role, but proven ability to influence cross-functionally is, such as with internal stakeholders or engineering teams.
• Preferably: Hands-on experience with public cloud (AWS, Azure, or GCP).
• Technical degree or Bachelor's Degree in Computer Science or related field/experience.

U.S. Citizenship Requirement

In order to comply with the U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.   

We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.   

We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:   

• Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset   

• Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs   

• Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events   

What you can expect in this role:   

• Partnering with Business Development on the entire sales cycle: ideation, proposal creation and delivery, establishing Statement of Work, negotiation, and closing  

• Managing engagement delivery content and quality assurance, perform risk assessment and lead project planning from end-to-end  

• Managing $2-5M in revenue annually and contributing to account growth  

• Assisting in the overall growth of practice areas through a combination of business development, ownership of delivery production and thought leadership  

• Eliciting clear and actionable client business requirements and develop innovative, compelling solution strategies to meet those requirements  

• Building teams and guiding consultants through all phases of delivery including: requirements gathering, solution architecture, and driving an effective development team  

• Mentoring individuals and providing them the necessary tools to further their career  

• Advising our teams both internally and externally on emerging technologies and how they can impact businesses  

 Tools for success:   

• 10+ years of consulting experience in the data analytics industry, preferably driving custom solutions with an iterative approach  

• 4+ years partnering with Business Development and being held accountable to sales and/or revenue targets  

• Experience driving sales pursuits within a consulting environment, with direct experience in large program and solution management  

• Expert in data science, statistical analysis, and advanced modeling, with a strong ability to interpret complex data and deliver insights. 

• Experience balancing multiple projects and pursuits at the same time  

• Understanding of how to leverage data driven solutions to solve business problems  

• Strong organization skills and detail-oriented approach  

• Excellent communication skills (writing, presenting, collaborating, etc.)  

• Ability to act as a thought leader by generating innovative ideas, influencing industry trends, and providing strategic insight 
• You have an entrepreneurial mindset and are comfortable contributing to a growing business   

Why Inspire11 is a fit for you? At Inspire11, we believe our values make a difference:

• We value, support, and help each other grow
• We are committed to active inclusion and diversity
• We are transparent and believe the best idea wins
• We succeed when our customers succeed
• And we keep it fun!

We believe that everyone drives change, and everyone is an owner. Nothing excites us more than having the ability to collaborate with intelligent, highly-motivated and talented people on challenging problems as we work to change the face of the digital and analytics space.

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.

Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa.

Compensation Range:  $156,086 - $191,206

For more information regarding our compensation and benefit offerings please see below:

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, Market Directors, and Managing Directors will work together to 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 $25 per month; 

• 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 on the first 3% of an employee’s salary and 50% of employee contributions from 3% to 5% 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.  

The Company also gives paid parental leave to full-time employees who have worked for Inspire11 for a year prior to taking leave, including up to 12 weeks of paid parental leave to birth parents and up to 6 weeks of paid parental leave to non-birthing parents. This paid leave can be taken within the first 6 months after the child’s arrival and is in addition to short-term disability leave (for eligible parents). 

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.