The Mission

Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.

We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model.  This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI.  This work will span both Computer Vision and Generative AI.

This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing.

You will:

• Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems.
• Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.
• Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E).
• Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.

Ideally you'd have:

• Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.
• ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model—from data acquisition to Test & Evaluation.
• Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.
• Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.

Nice to haves:

• Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one.

• Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability.
• Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques.

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

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

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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Position Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Primary Responsibilities

• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.

Qualifications

• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

Position Summary 

The Lead Advisor Development Manager is responsible for the development, administration, and execution of various learning experiences for Focus advisor associates. Educating advisors involves evaluating and advancing specific skills and knowledge across the core areas of the Client & Advisor Experience, Wealth Technology Platforms, and Practice Management skills. The Lead Advisor Development Manager will work closely with the Advisory Leadership Team to identify key learning needs of Advisors and deliver learning resources intended to meet those needs. It is the goal of the Advisor Development Team to provide all Focus Advisors with the resources required to continuously grow as professional and deliver an exceptional Client Experience. 

This role is intended for someone who has an advisory or financial planning background, and is willing to lend their hand and help other advisors succeed. This individual must be detail-oriented, service-minded, and willing to adapt in a fast-changing environment. 

This position is open to any of our office locations in the United States. Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader. 

Primary Responsibilities

• Collaborate superbly with Advisory Leadership and colleagues across the firm to understand and identify core learning needs of the Advisor community 
• Update and audit training programs and supporting materials as needed/assigned, so that changes in policies and procedures are accurately reflected and programs remain highly relevant and engaging 
• Review their own work for accuracy using a keen eye for details to ensure quality and adherence to all necessary compliance and design standards
• Track the engagement, success and relevance of materials and programs, making improvements and adjustments as needed
• Willingness to facilitate weekly learning sessions for new-to-firm and new-to-role advisors in the community
• Build relationships with internal subject matter experts and coordinate live-based and on-demand learning opportunities 

Qualifications 

• Bachelor’s degree 
• 5+ years’ experience in Financial Services or related profession.
• Served as part of an Advisory team for 2+ years
• Familiarity with WealthTech platforms such as Salesforce, Orion, MoneyGuide, eMoney, Holistiplan, or similar financial technology tools.
• Experience supporting advisors, clients, or internal stakeholders in a platform or systems-focused role.
• Strong organizational skills with the ability to manage multiple requests and priorities simultaneously, and meet deadlines.
• Advanced written and verbal communication skills with a service-oriented mindset.
• Comfort working with technology platforms and learning new systems quickly.
• Critical thinker: able to understand core objectives and creatively solve for methods to achieve them.
• Deep understanding and appreciation of the advisory industry, with a continual mindset of what we can create to educate and inspire them.
• Ability to work autonomously and effectively in a fast-paced, complex, multi-tasking environment. 

Preferred Qualifications 

• Professional certifications specific to the advisory industry (CFP, CPA, EA preferred) 

This position is an exempt position.The annualized base pay range for this role is expected to be between $70,000-$90,000 base salary compensation range. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package. 

#LI-CB1

Position Summary 

The Lead Advisor Development Manager is responsible for the development, administration, and execution of various learning experiences for Focus advisor associates. Educating advisors involves evaluating and advancing specific skills and knowledge across the core areas of the Client & Advisor Experience, Wealth Technology Platforms, and Practice Management skills. The Lead Advisor Development Manager will work closely with the Advisory Leadership Team to identify key learning needs of Advisors and deliver learning resources intended to meet those needs. It is the goal of the Advisor Development Team to provide all Focus Advisors with the resources required to continuously grow as professional and deliver an exceptional Client Experience. 

This role is intended for someone who has an advisory or financial planning background, and is willing to lend their hand and help other advisors succeed. This individual must be detail-oriented, service-minded, and willing to adapt in a fast-changing environment. 

This position is open to any of our office locations in the United States. Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader. 

Primary Responsibilities

• Collaborate superbly with Advisory Leadership and colleagues across the firm to understand and identify core learning needs of the Advisor community 
• Update and audit training programs and supporting materials as needed/assigned, so that changes in policies and procedures are accurately reflected and programs remain highly relevant and engaging 
• Review their own work for accuracy using a keen eye for details to ensure quality and adherence to all necessary compliance and design standards
• Track the engagement, success and relevance of materials and programs, making improvements and adjustments as needed
• Willingness to facilitate weekly learning sessions for new-to-firm and new-to-role advisors in the community
• Build relationships with internal subject matter experts and coordinate live-based and on-demand learning opportunities 

Qualifications 

• Bachelor’s degree 
• 5+ years’ experience in Financial Services or related profession.
• Served as part of an Advisory team for 2+ years
• Familiarity with WealthTech platforms such as Salesforce, Orion, MoneyGuide, eMoney, Holistiplan, or similar financial technology tools.
• Experience supporting advisors, clients, or internal stakeholders in a platform or systems-focused role.
• Strong organizational skills with the ability to manage multiple requests and priorities simultaneously, and meet deadlines.
• Advanced written and verbal communication skills with a service-oriented mindset.
• Comfort working with technology platforms and learning new systems quickly.
• Critical thinker: able to understand core objectives and creatively solve for methods to achieve them.
• Deep understanding and appreciation of the advisory industry, with a continual mindset of what we can create to educate and inspire them.
• Ability to work autonomously and effectively in a fast-paced, complex, multi-tasking environment. 

Preferred Qualifications 

• Professional certifications specific to the advisory industry (CFP, CPA, EA preferred) 

This position is an exempt position. The annualized base pay range for this role is expected to be between $70,000-$90,000 base salary compensation range. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package. 

#LI-CB1

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Charlotte, NC area for this position. 

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, Virginia area for this position. 

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the San Antonio, TX area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Minneapolis, MN area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Denver, CO area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Olympia, WA area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

We are seeking a Senior Sales Recruiter with a successful track record of identifying, engaging, and closing executive level candidates; someone to grow and drive recruitment efforts across multiple sales teams. You take action and are adept at influencing key partners and hiring leaders through data-driven insights, critical thinking, and a deep understanding of talent market dynamics. You are an expert at sourcing talent in multiple geographical markets simultaneously. Our business development teams are constantly evolving, so you are also customer-focused and comfortable adapting to change.

Esri has a Relocation Assistance Program and can provide support with relocating to the Philadelphia, PA area for this position.

Responsibilities

• Drive results. Own full-cycle recruiting and employee selection efforts for our growing Global Business Development Division. Partner with senior leadership to understand their hiring objectives and develop a plan to hit goals and deliver quality and timely results. Create and execute unique and effective sourcing strategies and techniques to find professionals across a variety of roles within our sales organization. Consistently generate a healthy pipeline of high-quality candidates by driving initiatives such as branding, sourcing, and referrals.
• Foster relationships. Build solid relationships with sales leadership teams and serve as a talent partner before, during, and after the recruiting process. Manage candidates in process and provide them with a positive candidate experience. Partner with HR specialists in the areas of global mobility, organizational training and development, HRIS, compensation, and compliance.
• Be an expert. Develop deep business knowledge of Esri’s sales organization and the markets it serves. Leverage data and analytics to assess recruiting performance, forecast hiring needs, and inform strategic decisions. Stay informed on competitive talent trends, compensation benchmarks, and employment branding strategies to maintain a strong market presence.

Requirements

• 5+ years of full cycle recruiting experience, including sourcing and closing for sales positions at all levels
• Demonstrated track record of building successful relationships and partnerships at all organizational levels
• Solid capacity to practice behavioral competency assessments to determine best placement of talent within the organization
• Proven ability to develop and execute advanced sourcing strategies and build diverse talent pipelines
• Strong analytical skills with the ability to interpret recruiting data and translate insights into action
• Outstanding interpersonal skills, creativity, flexibility, maturity, and sound judgment
• Team player who takes initiative, is self-directed and highly motivated, and has a passion for results
• Bachelor's degree in human resources, business, marketing, or communications

Recommended Qualifications

• PHR or SPHR certification
• Business understanding of software sales within high tech companies
• Knowledge of ADA, EEO, FMLA, Title VII, wage and hour laws, and benefits
• MBA or master’s degree in human resources, communications, industrial psychology, or marketing

#LI-Onsite

#LI-LW1

Overview

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.

We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.

Responsibilities

• Consult closely with customers to understand their needs
• Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
• Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
• Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
• Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
• Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
• Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery

Requirements

• 1+ years of professional experience in a similar position, supporting similar responsibilities
• Professional experience with practical machine learning experience or relevant academic/lab work
• Hands-on relevant experience in generative AI, large language models, and/or agentic systems
• Fundamental understanding of mathematical and machine learning concepts
• Applied statistics experience
• Experience developing machine learning solutions, preferably in Python
• Ability to produce compelling data visualizations to convey results
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences
• US citizenship and willingness and ability to maintain a US Security Clearance
• Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field

Recommended Qualifications

• Experience with spatial and GIS concepts, preferably using Esri software
• Master's degree in mathematics, statistics, computer science, physics, or a STEM related field

#LI-AN1

#LI-Onsite

Position Summary

The Director of Data Analytics will help lead the FP&A and data analytics strategy for the wealth management business, transforming client, advisor, operational, and financial data into actionable insights that improve growth, advisor productivity, and business performance. This role will partner closely with advisory, investment, operations, technology, compliance, and finance team members to build scalable reporting, strengthen data governance, and advance a more data-driven organization. The Director will help build scalable reporting frameworks for billable client assets and firm-level performance benchmarking.

This position will be an integral contributor to the company’s FP&A and data analytics.

This reports to the VP of FP&A and Data Analytics.  

This role can be located in New York, NY; New Hyde Park, NY; St. Louis, MO

Primary Responsibilities

• Help build and develop a high-performing finance data analytics team responsible for dashboards, KPI reporting, ad hoc analysis, business intelligence, and advanced analytics.
• Partner across all business disciplines to improve data quality, establish common definitions, and enable trusted analytics across CRM, portfolio reporting systems and billing systems.
• Deliver meaningful reporting across client trends, segmentation, productivity, profitability, and retention metrics.
• Navigate the firm's data warehouse capabilities, ensuring clean integration of data to our Enterprise Resource Planning (ERP) system and other reporting platforms.
• Identify and implement opportunities to use predictive analytics and AI to improve process automation.
• Drive adoption of self-service analytics tools, data literacy, and a culture of evidence-based decision-making across the finance organization.
• Establish strong standards for governance, date quality, and privacy to support regulatory, risk, and audit requirements.
  
  

Qualifications         

• Bachelor’s degree in data science, statistics, finance, computer science, or a related quantitative field
• 7 to 10 years of progressive experience in data analytics in a large and complex environment
• Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar)
• Excellent communication, collaboration, and leadership skills, with the ability to explain complex analyses to non-technical audiences.
• Demonstrated understanding and experience in financial services.
• Familiarity with cloud data platforms (Snowflake, Databricks, Azure Synapse).
• Familiarity with Workday ERP and Adaptive Planning.
• Experience implementing predictive analytics, machine learning, or self-service analytics programs in a regulated environment.

#LI-KJ2

This position is an exempt position. The annualized base pay range for this role is expected to be between $160,000-$200,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

Position Summary

Focus Partners Wealth’s (FPW) Learning Events Manager is responsible for the development, administration, and execution of various learning experiences for FPW’s advisor associates.  Educating advisors involves evaluating and advancing specific skills and knowledge across the core areas of Client Experience, Technology Platforms and Practice Management. The Advisor Learning & Development Team works closely with the Advisory Leadership Team and Advisor Relations Team to identify the key learning needs of our advisors and delivers learning resources intended to meet those needs. It is the goal of the Advisor Learning & Development Team to provide all FPW advisors with the resources required to continuously grow as a professional and deliver an exceptional client experience.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader.

Primary Responsibilities

• Collaborate superbly with peers and colleagues across the firm to understand and identify core learning needs of the advisor community
• Build relationships with internal subject matter resources (SMR) and facilitate the transfer of knowledge from SMR, as needed
• Translate knowledge and information into learning & development content for consumption in various venues (virtual, live, self-study, etc.)
• Own, manage and deliver various learning projects and initiatives such as live learning events, etc.
• Update training programs and supporting materials as needed/assigned, so that changes in policies and procedures are accurately reflected and programs remain highly relevant and engaging
• Review her/his own work for accuracy using a keen eye for details to ensure quality and adherence to all necessary compliance and design standards
• Track the engagement, success and relevance of materials and programs, making improvements and adjustments as needed

Qualifications

• Bachelor’s degree 
• 3+ years’ experience in designing and delivering educational content
• Advanced written and verbal communication skills
• Critical thinker: able to understand core objectives and creatively solve for methods to achieve them
• Demonstrate personal initiative, organization, and time management skills to be able to consistently meet deadlines
• Deep understanding and appreciation for our primary constituents with a continual mindset of what we can create to educate and inspire them
• Enthusiastic, quick, and ongoing learner
• Ability to work autonomously and effectively in a fast-paced, complex, multi-tasking environment
• Desire to help others
• Travel up to 20%

This position is an exempt position. The annualized base pay for this role is expected to be $60,000 - $65,000 base salary. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-AH1

Position Summary

Focus Partners Wealth’s (FPW) Learning Events Manager is responsible for the development, administration, and execution of various learning experiences for FPW’s advisor associates.  Educating advisors involves evaluating and advancing specific skills and knowledge across the core areas of Client Experience, Technology Platforms and Practice Management. The Advisor Learning & Development Team works closely with the Advisory Leadership Team and Advisor Relations Team to identify the key learning needs of our advisors and delivers learning resources intended to meet those needs. It is the goal of the Advisor Learning & Development Team to provide all FPW advisors with the resources required to continuously grow as a professional and deliver an exceptional client experience.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader.

Primary Responsibilities

• Collaborate superbly with peers and colleagues across the firm to understand and identify core learning needs of the advisor community
• Build relationships with internal subject matter resources (SMR) and facilitate the transfer of knowledge from SMR, as needed
• Translate knowledge and information into learning & development content for consumption in various venues (virtual, live, self-study, etc.)
• Own, manage and deliver various learning projects and initiatives such as live learning events, etc.
• Update training programs and supporting materials as needed/assigned, so that changes in policies and procedures are accurately reflected and programs remain highly relevant and engaging
• Review her/his own work for accuracy using a keen eye for details to ensure quality and adherence to all necessary compliance and design standards
• Track the engagement, success and relevance of materials and programs, making improvements and adjustments as needed

Qualifications

• Bachelor’s degree 
• 3+ years’ experience in designing and delivering educational content
• Advanced written and verbal communication skills
• Critical thinker: able to understand core objectives and creatively solve for methods to achieve them
• Demonstrate personal initiative, organization, and time management skills to be able to consistently meet deadlines
• Deep understanding and appreciation for our primary constituents with a continual mindset of what we can create to educate and inspire them
• Enthusiastic, quick, and ongoing learner
• Ability to work autonomously and effectively in a fast-paced, complex, multi-tasking environment
• Desire to help others
• Travel up to 20%

This position is an exempt position. The annualized base pay for this role is expected to be $60,000 - $65,000 base salary. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-AH1