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

Seeking Talent Near: Minneapolis, MN; Saint Paul, MN; Fargo, ND; Sioux Falls, SD; Omaha, NE; Billings, MT; Boise, ID

Position Summary

Primary Responsibilities

• Build and sustain strong relationships with national and regional medical and scientific thought leaders, patient advocacy groups, and centers of excellence aligned to Acadia’s Medical Affairs strategy
• Engage key opinion leaders in meaningful scientific exchange, research discussions, and education on current and emerging therapies
• Support clinical research activities, including trial site engagement and cultivation and facilitation of investigator-initiated research proposals
• Develop and maintain deep scientific, clinical, and therapeutic expertise across Acadia’s portfolio
• Collaborate cross-functionally, in compliance with all guidelines, with Regional Business Leaders and Account Business Managers to support aligned field execution
• Provide strategic field insights that inform Medical Affairs and broader organizational decision-making
• Identify disease state insights and compound attributes that contribute to product differentiation and scientific value
• Deliver high-quality scientific, clinical, and educational support to internal stakeholders and external healthcare partners
• Represent Acadia at medical meetings, congresses, educational programs, and support Commercial activities including speaker and sales training
• Perform other duties as assigned

Education/Experience/Skills

• Advanced scientific degree (MD, PharmD, or PhD) in a relevant discipline
• Minimum of 5 years of experience in the pharmaceutical or biotechnology industry, with hands-on scientific or medical affairs responsibilities
• Prior Medical Science Liaison experience within a field-based medical affairs role
• Demonstrated scientific and clinical expertise, with experience in rare diseases, epilepsy, neurology, or psychiatry
• Strong working knowledge of regulatory, compliance, and clinical considerations impacting pharmaceutical and managed care environments
• Proven ability to communicate complex scientific and drug information to healthcare professionals and internal stakeholders
• High proficiency in Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint
• Ability to travel up to 75% of the time, with residence within the assigned territory

Position levels:

• Medical Science Liaison: $139,600 - $174,500 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 5 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field
• Sr. Medical Science Liaison: $176,000 - $220,000 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 7 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field, including 3 years as an MS

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-REMOTE

#LI-CS1

Garda is seeking a Sr. Compensation Analyst to support and deliver strategic, technical and execution-based compensation initiatives supporting our end-to-end investment and business functions. We are hiring in either our New York or Wayzata office. This job post is for the Wayzata office role. 

As a member of our HR Operations team within the Human Capital Management (HCM) function, you will work closely with internal HCM, Finance/Controller & IT teams, supporting our annual compensation process, utilizing internal business systems and HR technologies. This role plays an essential part in ensuring our compensation programs enable us to attract, retain, and reward top talent.

This position focuses on designing and maintaining job architecture frameworks, including job leveling, titling, and career laddering; leading compensation planning cycles involving salary benchmarking, merit increases, and variable compensation programs; and building and maintaining complex Excel models to drive technical analysis, compensation scenario modeling, and reporting for Garda senior leaders. This role will serve as a primary compensation point of contact for our global business.

Primary responsibilities for the role include:

• Own and manage the end-to-end annual compensation cycle, including compensation benchmarking, salary planning, and the variable compensation process.
• Build, maintain, and improve complex Excel-based compensation models across multiple distinct incentive schemes, including base pay, short-term incentives, long-term incentives, and other variable pay structures, each with their own logic and inputs.
• Develop and maintain analytics using excel and other compensation tools. Perform rigorous analyses on complex data sets (including internal and external benchmarks) to tell visually compelling stories and provide strategic insights, hypotheses, and conclusions based upon findings to leaders at all levels.
• Create compensation policies, procedures, and training materials, and communicate to employees and Senior Leaders.
• Partner closely with the Controller team with other functions to respond to requests for information and analysis using HR and Finance data systems.
• Monitor regulatory changes (FLSA, EEO, pay transparency) to maintain compliance.
• Manage compensation survey participation and submissions; conduct follow-up research and analysis of survey results to assess market positioning, identify compensation gaps, and model proposed structure changes; present findings and recommendations to HCM and business leadership to support annual compensation planning and ongoing pay equity initiatives.
• Maintain and govern job architecture, including job evaluations, market pricing, and compensation structure management for the global population.
• Advise and partner with Talent Acquisition, HCM, and managers on compensation decisions.
• Identify overall areas for process improvement and establish effective and efficient processes.
• Support additional HCM initiatives, operational activities, and cross-functional projects as needed to meet evolving business and organizational priorities.

Qualifications & Desired Skills 

• Bachelor’s degree in information systems, human resources, business, or a related field, or equivalent experience
• Minimum of 5 years of Compensation experience.
• Proven analytical, modeling, and reporting capabilities.
• Understanding of HR processes, policies, and regulations related to Compensation and Variable Pay
• Strong HRIS experience, including data extraction, reconciliation and reporting.
• High attention to detail and understanding of downstream impacts of data errors.
• Expert level Excel proficiency with the understanding of developing large models with numerous inputs and outputs.
• Experience working across HR, Finance and IT systems
• Experience working on compensation and equity-related projects
• Embrace a shared drive to learn, improve and achieve lasting impact.
• Self-starter with the ability to work both independently and collaboratively, managing priorities effectively in a fast-paced environment.
• Strong communication and interpersonal skills with the ability to collaborate effectively across diverse teams and stakeholders

FEQ427R139

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

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.