What You’ll Do, as our Manager, Paid Search

Support MERGE's practice in creating, optimizing, and executing best-in-class client paid search campaigns. As a hands-on Paid Search Media Manager, you will provide the strategic direction for keyword research, campaign building, and testing roadmaps. We are looking for a curious, data-driven marketer who understands the evolving AI landscape and can proactively identify opportunities to improve performance and goals delivery. You will bring passion and strong interpersonal skills to drive success, ensuring every dollar spent contributes to client growth.

Campaign Creation & Launch

• Campaign Ownership: You will act as a Paid Search subject matter expert, fostering accounts growth while ensuring that output meets agency standards.
• Structure & Creation: Build and launch (or guide executional-focused team members on what is needed) comprehensive campaigns across search, Performance Max, Demand Gen and more, ensuring best-practice account structure, compelling ad copy, tailored keyword lists, and client-specific targeting strategies.
• QA & Oversight: Lead the Quality Assurance (QA) process for all trafficked plans (keywords, ad copy, extensions) and launch components (dayparting, bids, budgets, targeting).
• Collaboration: Act as the primary Paid Search liaison for the broader media strategy teams, ensuring search is integrated seamlessly into the holistic media mix.

Strategy, Execution & AI

• Strategy & Discovery: Lead the client discovery process to establish PPC objectives and develop the strategy for tactic, budget, goals, etc. Provide thoughtful leadership to ensure these goals are met.
• Campaign Architecture: Develop and recommend keyword lists, targeting strategies, and testing plans (e.g., ad copy A/B testing, landing page reviews).
• AI Landscape: Apply a working knowledge of the current AI landscape (e.g., Performance Max, Broad Match/Smart Bidding, Generative AI) to keep client accounts modernized and efficient.
• Platform Mastery: Work closely with media partners (Google, Microsoft) to implement best practices across Search, PMax, Demand Gen, Video, and Call campaigns.

Analytics, Reporting & Financials

• Budgeting: Accurately forecast and pace monthly budgets to ensure spending aligns with client targets and is the most optimal use of funds aligning with goals.
• Performance Analysis: Monitor daily and analyze program KPIs (ROAS, CTR, CPA, CVR) to drive continuous improvement.
• Optimization Roadmap & AB Testing: Develop a comprehensive, long-term optimization roadmap for the account, utilizing a data driven, test-and-learn approach.
• Client Reporting: Provide in-depth reporting on program performance. You will lead client status calls, presenting insights and strategic recommendations.
• Tracking & Tech: Ensure analytics tracking implementation is accurate, robust, and easy to manage.
• Auditing: Conduct deep-dive PPC audits to identify structural weaknesses in legacy accounts and uncover new opportunities.

What You’ll Bring

• Education: Bachelor’s degree in Marketing, Communications, Advertising, and/or equivalent work experience.
• Experience: 3 to 5 years of professional paid search campaign management experience.
• Industry Focus: Healthcare, Health Insurance or pharma lead generation experience is a strong plus.
• Platform Depth: Deep knowledge of all Google and Microsoft advertising products (Search, PMax, AI Max, Demand Gen, Video, etc.).
• Data-driven decision-maker who relies on evidence and performance metrics to guide strategy.
• Learning Mentality: A desire to keep learning and being informed on everything search, digital & AI
• Communication: Excellent written, verbal, and presentation skills. You must be able to explain complex search data to clients clearly.
• Critical Thinking: A problem-solving orientation with the ability to think critically about business goals.

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is $78,000 - $114,000, based on the individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

AI Underwriter

The Role 

• Computer Vision — helping evaluate and validate AI systems that analyze property imagery for risk assessment purposes.
• Generative AI — informing the development of AI-powered tools that assist in quote generation, risk narratives, and underwriting workflows.
• Predictive Modeling — contributing your underwriting expertise to proprietary risk models, helping drive more accurate and data-driven outcomes across our book of business.

What You’ll Do

• Partner closely with AI researchers and engineers throughout the full model lifecycle — from early research and development through post-production monitoring. Translate complex underwriting guidelines into clear, consistent property assessments that inform and improve AI models. 
• Conduct in-depth property reviews to identify gaps or weaknesses in current AI models and recommend improvements.
• Supervise labeling teams to ensure accurate property classification in production models.
• Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on annotation projects.
• Assist in the discovery and evaluation of new and revised AI models, contributing underwriting subject matter expertise.
• Maintain open, proactive communication across underwriting and AI teams. Take on special projects and assignments as the team's needs evolve.

Basic Requirements

• 4+ years of underwriting/insurance experience (commercial preferred)  
• Bachelor’s degree or equivalent education/experience preferred
• Retail agency relationship preferred
• Curiosity, hardworking, self-accountable, positive attitude, humble and fun
• Have an opinion, share your opinion and be open to other opinions
• Passion to obtain, retain and employ knowledge – as well as share knowledge
• Excellent verbal and written communication skills
• Strong analytical skills and attention to detail

Benefits:

• Salary: $100,000 - $120,000
• ISO stock options
• Medical, dental, and vision coverage for you and your dependents
• HSA with company contributions
• 401(k) with employer match
• Flexible time off
• 10 company-paid holidays
• Paid family leave

Honeycomb is committed to fair and equitable compensation practices. The base salary range listed in each job posting represents our good faith estimate of what we expect to pay for the role. Actual compensation may vary based on skills, experience, education, and location, as well as internal alignment and market factors.

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

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DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

• A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k)
• Paid holidays and flexible, take-it-as-you-need-it paid time off 
• Monthly tech reimbursements
• A culture built on innovation that values big ideas, no matter where they come from

Role Overview:

** This is a 12 month in-office program (starting June 24th, 2026) designed for those who have recently completed a bachelor’s degree or are looking to start their professional journey, and placement after program is not guaranteed. We welcome applicants from all backgrounds, but have a strong preference for those with a non-technical area of study. You must be based in the Denver area, or able to relocate to Denver, and will be in office 4 days per week ** 

As a Graduate AI Program Associate, you are a curious, collaborative, and adaptable early-career professional with a passion for leveraging artificial intelligence to improve real-world workflows. You thrive in ambiguity, quickly learn new systems, and actively seek out opportunities to make work more efficient and impactful. You embed in an existing team to uncover challenges and build AI-enabled tools that optimize operations, enhance decision-making, and create lasting value. This is a one-year, full-time program designed to accelerate your growth and impact while building practical experience across key business functions. We believe innovation in AI comes from diverse perspectives. This program is open to recent graduates from any academic background, not just technical degrees. You are curious how AI can share the future of work and eager to apply your unique lens to real-world AI challenges.

You begin by getting to know the business, how it operates, what drives it forward, and where teams need the most support. From there, you apply your understanding to uncover opportunities, set goals, roadmap ideas, and partner with stakeholders to bring solutions to life. You’ve done this in the past through school projects, AI work, or self-driven exploration, and you're excited to expand that work in a real-world, mission-driven setting.

Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

What you do each day:

• Partner with cross-functional teams to identify inefficiencies and pain points in workflows
• Research and test AI tools and automation techniques to solve business problems
• Embed with existing teams focused on building AI and automation solutions, and support the planning and execution of mini-projects with guidance from mentors
• Document findings and present AI-enabled prototypes and workflows to stakeholders
• Collaborate with other Graduate AI Solutions Specialists in the cohort to share learnings and iterate on solutions
• Translate team-specific challenges into problem statements solvable with AI and automation
• Measure and evaluate the impact of AI solutions implemented
• Learn and leverage tools (i.e. ChatGPT, Gemini, n8n, Zapier, Python) to build automations or efficiencies
• Seek feedback and continuously improve based on user testing and team collaboration
• Participate in learning sessions, demos, and team rituals to build knowledge and relationships
  
  

Qualifications:

• Bachelor’s degree (strong preference for non-technical majors) or equivalent work experience required
• Demonstrated use of AI tools to creatively solve problems or make things more efficient – in any area or discipline
• Familiarity with one or more generative AI platforms and automation tools (i.e. ChatGPT, Gemini, Claude, n8n, Zapier, Python)
• Ability to communicate ideas clearly, collaborate in team settings, and roadmap solutions to problems
• Comfortable learning new concepts quickly and applying them in fast-paced environments
  
  

What will help you succeed:

• Adaptability and openness to new challenges
• Strong sense of initiative and accountability
• Comfort with ambiguity and a proactive learning mindset
• Interest in user experience, stakeholder management, and building relationships across functions
• Collaborative spirit and desire to grow alongside a team
  
  

Location Dependent Information

This role is open to candidates and the expected salary for this role is $65,000. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s equity plan and the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth.

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Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

We're seeking an analytical Associate Director of Paid Search to lead the strategy and implementation for a key client in the insurance vertical. As the dedicated subject matter expert, you will architect the paid search roadmap and ensure flawless execution. This role involves aligning search strategy with client objectives and overall digital strategy, collaborating with a cross-functional team (Account, Creative, Media, and Measurement), and leading platform approach, content distribution, and community management across Google, Microsoft, and other ecosystems.

Key Responsibilities

Data-Driven Strategy & Execution

• Strategy: Design and implement comprehensive Paid Search strategies, translating complex client goals into actionable SEM tactics.
• Analytics: Conduct rigorous analytics to extract customer insights, model attribution, and report channel performance, explaining the "why."
• AI & Future-Proofing: Lead the client's strategy through the AI evolution of search (SGE, Copilot). Aggressively test and govern AI-driven products (PMax, Demand Gen, Broad Match), ensuring automation uses the right data for incremental growth.
• Optimization: Lead a proactive testing roadmap (A/B, multivariate) and use statistical evidence for optimization decisions. Monitor industry activity for opportunities.

Financial Stewardship: Manage high-volume budgets precisely. Accountable for forecasting, pacing, and ensuring spend contributes to client ROI.

Cross-Functional Leadership

• Integrated Planning: Collaborate with stakeholders (internal Account/Creative and external client teams) to align Paid Search with broader integrated campaigns.
• Platform Management: Oversee daily management of Paid Search platforms (Google, Microsoft) and vendor relationships to ensure optimal strategy.
• Team Guidance: Foster a collaborative environment. Collaborate on streamlining processes on the insurance vertical, guide junior members on strategy, reporting insights and optimizations, ensuring high-quality output. Provide thought leadership across the Paid Search team. 

Insights & Innovation

• Competitive Intelligence: Conduct deep competitor analysis to maintain client advantage.
• Trend Application: Monitor Paid Search tools/automation trends, applying them to boost client performance.

Qualifications

The "Data" Requirement

• Analytical Mindset: Must guide complex reporting and identify optimization opportunities in large datasets.
• Excel Mastery: High proficiency with Microsoft Excel (financial modeling, complex formulas, pivot tables) is required.
• AI Fluency: Understand Generative AI/LLMs and manage the shift from keyword-based to intent-based/predictive modeling.

Tech Stack: Conversant in Paid Search analytics, emerging formats, and enterprise automation tools (e.g., Fluency, SA360, Kenshoo/Skai, Marin).

Professional Experience

• Experience: 6–8 years of Paid Search strategy and execution experience.
• Management: Proven experience managing high-budget campaigns
• Education: Bachelor’s degree in Marketing, Communications, Advertising, or equivalent work experience.
• Industry: Experience on health insurance client or healthcare industry is a plus.

Leadership & Soft Skills

• Strategic Thinker: A big-picture thinker with a proven ability to drive execution. You can see the forest and the trees.
• Communication: Excellent verbal, writing, and presentation skills. You can defend your data and strategy to stakeholders.
• Problem-Solving: Expert problem-solving and issue-resolution skills. You are a self-starter who can work independently in a dynamic environment.
• Collaboration: A positive outlook, excited about supporting teammates to drive success as a collective.

Thought Leadership: An innovative leader who participates in developmental POVs for the Paid Search team and organization at large.

#LI-JK1

#LI-HYBRID

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is [$98,323-$117,988], based on the individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

What You Will Do and Learn 

We are hiring an AI Training & Enablement Lead to drive firm-wide adoption of our AI platform and agentic tools. In this role, you are responsible for end-to-end execution, not just strategy. You will design, create, and deliver the training programs, enablement materials, release communications, and change management plans that help 700+ consultants integrate AI into their daily work. 

You will own the full lifecycle of user enablement: from onboarding new users, to managing release rollouts, to measuring adoption and identifying friction points. You’ll have access to support resources, while playing a leading role in building and delivering impactful solutions. 

In this role, you can expect to: 

Training Program Design & Delivery 

• Build and maintain role-based training curricula for different personas (consultants, architects, engagement leads, practice leaders) aligned to the AI platform's capabilities and governance requirements. 

• Create hands-on workshops, quick-start guides, video walkthroughs, prompt libraries, and reference materials that consultants can use in the flow of work. 

• Facilitate live training sessions (virtual and in-person) for platform onboarding, new feature releases, and advanced use-case enablement. 

• Develop and manage an internal certification or proficiency program to track and incentivize AI skill development. 

Release Management & User Enablement 

• Own the user-facing release process: coordinate with the AI platform vendor and internal technical teams to translate product updates into clear, actionable enablement content. 

• Manage release notes, feature announcements, and "what's new" communications for each platform update. 

• Build and maintain a centralized enablement hub (knowledge base, FAQ, resource library) that serves as the single source of truth for all AI-related guidance. 

• Establish feedback loops with end users to surface adoption blockers, training gaps, and feature requests. 

Change Management & Communications 

• Design and execute change management strategy for the AI platform rollout, including stakeholder mapping, resistance planning, and leadership alignment. 

• Draft internal communications (emails, Teams updates, town hall talking points) that build excitement and reduce friction around new AI capabilities. 

• Identify and activate AI Champions across practices to scale peer-to-peer learning and create organic adoption momentum. 

• Partner with practice leaders and HR to integrate AI enablement into performance reviews, career development, and onboarding for new hires. 

Adoption Measurement & Continuous Improvement 

• Define and track adoption KPIs: active user rates, feature utilization, training completion, satisfaction scores, and time-to-value metrics. 

• Conduct regular pulse surveys and user interviews to assess enablement effectiveness and identify areas for improvement. 

• Report adoption progress and risks to leadership on a regular cadence, providing actionable recommendations. 

• Continuously iterate on training content and delivery methods based on data and user feedback. 

Skills & Experience: 

Required 

• 5-8+ years of experience in training, enablement, change management, or L&D, with at least 2 years focused on technology or platform adoption. 

• Proven ability to design and build training programs from the ground up, including curriculum development, content creation, resource design, and hands-on delivery. 

• Strong facilitation skills: you are comfortable leading workshops for groups ranging from 10 to 200 people, both virtually and in person. 

• Proven ability to translate complex technical concepts into accessible, engaging content for non-technical audiences. 

• Outstanding written and verbal communication skills, with a proven ability to craft clear, concise internal communications that effectively engage audiences. 

• Experience working in professional services, consulting, or technology firms. 

• Comfortable working in fast-paced environments with evolving priorities, and able to navigate ambiguity without a predefined playbook. 

Preferred 

• Prior experience with change management frameworks (Prosci, ADKAR, or equivalent). Certification. 

• Hands-on experience with generative AI tools (ChatGPT, Claude, Copilot, or similar). You do not need to be an engineer, but you should be a confident, daily user. 

• Experience managing enablement for SaaS platform rollouts (Salesforce, Anaplan, ServiceNow, or similar enterprise tools). 

• Familiarity with instructional design principles and e-learning authoring tools (Articulate, Loom, Camtasia, or equivalent). 

• Background in or exposure to consulting delivery models, T&M billing, and the dynamics of utilization-based businesses. 

• Experience building and activating champion or ambassador networks within large organizations. 

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

WHAT YOU WILL DO

onX is seeking a Senior Product Designer, AI Foundations, to help shape how AI is thoughtfully integrated into our product ecosystem. This role sits at the intersection of emerging technology, evolving user expectations, and real-world product constraints.

Our AI practice is actively developing, and we are experimenting, learning, and refining how AI should show up in our products. We are looking for a senior designer who is comfortable working in ambiguous spaces and can help define foundational interaction models, experience principles, and patterns that others can build on over time.

In this role, you will design and prototype AI-enabled experiences from early exploration through iteration, helping ensure that technical AI capabilities are aligned to meaningful customer problems. You will partner closely with Product Management, Engineering, and Research to explore, test, and refine AI-driven workflows that are useful, trustworthy, and grounded in real user needs.

This role is an individual contributor position within the UX Design & Research team. You may own one or more AI-focused initiatives while also influencing broader design direction through shared patterns, documentation, and storytelling. You will report to the Head of UX Design & Research and work closely with the AI Foundations team.

As an onX Senior Product Designer, your essential job duties and responsibilities will look like: 

• Lead design efforts in early-stage, AI-enabled problem spaces where best practices are still emerging. This includes shaping interaction models, defining appropriate experience boundaries, and translating complex AI-driven capabilities into intuitive, usable experiences for customers.
• Work in iterative cycles that prioritize learning and signal in early phases while also considering how design decisions contribute to durable UX foundations over time. This may include contributing to patterns, principles, and guidance that support broader AI adoption across the product organization.
• Apply systems thinking to anticipate downstream effects, edge cases, failure modes, and trust implications associated with AI-enabled features. In collaboration with Product and Engineering, you will help clarify trade-offs, constraints, and responsible uses of AI in customer-facing workflows.
• Conduct lightweight research as part of your design process, including interviews, usability testing, and synthesis, and partner with UX Research when deeper investigation is required.
• Help elevate AI fluency within the design organization. This includes demonstrating practical uses of AI tools in design workflows, articulating their strengths and limitations, and modeling thoughtful, responsible adoption.

WHAT YOU’LL BRING

• Six (6) or more years of experience designing complex digital products or systems, including experience working in ambiguous or 0–1 environments where direction was not fully defined.
• Hands-on experience designing AI-assisted, data-informed, or algorithmically driven experiences, and a working understanding of generative AI capabilities and limitations.
• Ability to explain not only how AI works at a surface level, but how its constraints shape interaction design decisions.
• Comfort in using AI tools to augment your own design workflow and can articulate where those tools are helpful and where human judgment remains critical.
• Strong interaction design and product thinking skills, ideally with experience in map-based or spatially complex experiences. 
• Ability to translate technically complex capabilities into clear, usable, and trustworthy interfaces.
• Comfort in making progress amid evolving constraints and imperfect information, with an ability to balance rapid experimentation with a thoughtful approach to long-term system design.
• Clear and pragmatic communication skills, with an ability to use storytelling and artifacts to align cross-functional partners.
• A willingness to share your thinking and help others develop stronger AI design literacy.
• A portfolio demonstrating relevant work is required.
• A shared passion for and ability to demonstrate onX’s Company Values
• Permanent US work authorization is a condition of employment with onX. 
• Must be available for travel to a corporate office in Montana bi-annually. 

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience establishing UX patterns, principles, or frameworks that influenced how other teams design.
• A clear and practical perspective on what makes AI-powered experiences feel trustworthy, transparent, or poorly executed.
• Experience designing systems where user control, reliability, or real-world consequences were important considerations.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub”.

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time, this is a great option.
• Basecamps: onX’s Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure. 
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: onX’s Connection Hub locations are smaller, emerging communities of distributed team members.
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Charlotte, NC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $139,000 to $174,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

At Loka our teams launch meaningful projects across a wide range of industries. In the last year we helped advance the world’s #1 AI reading tutor, transform rundown homes into green machines and accelerate novel drug discovery to fight leukemia. And we did it all while working 100% remotely and enjoying every other Friday off 😎

We’re seeking experienced technical sales reps or candidates with a strong technical background combined with customer-facing experience. You should take genuine joy in helping businesses succeed by diagnosing cloud architecture challenges and advising the most appropriate technical solutions. Your sales training is more important than your engineering and/or cloud account management experience: The former builds the kind of knowledge you’ll need to hit the ground running; the latter you’ll earn along the way.

As an AWS Generative AI Partner, we offer a unique platform to leverage your expertise and contribute to a vast array of innovative projects. A strong drive to compete and close deals is essential, but the ability to thrive in a team-driven environment will make you a great fit.

Responsibilities

• Lead all aspects of the sales process (prospecting, sales meetings, company introductions and presentations, proposals, negotiations and account management).
• Build, nurture and maintain relationships with potential clients and partners, including in-person meetings, lunches, conferences etc.
• Foster AWS relationship with existing and new teams to generate your own pipeline
• Own the pre-sales journey with Loka prospects, with the support of the engineering team.
• Understand the client’s business environment and communicate Loka’s value proposition clearly. Your ability to comprehend how software products are built—beyond just memorizing selling points—is crucial.
• Maintain current sales performance coaching software industry and product knowledge.
• Conduct market research to generate new business opportunities.
• Support stakeholders with data and asset resources.
• Manage projects for various sales initiatives.

Requirements

MUST HAVE

• 5+ years of sales experience in professional services or adjacent product selling experience
• Experience in environments with exposure to data infrastructure, machine learning and/or cloud architectures
• Experience working with cloud services, preferably with AWS, and strong understanding of core AWS services
• Ability to travel to meet clients and attend industry events up to 25% of the month
• Ability to prioritize multiple tasks with varying deadlines and adapt to changes in and market
• Excellent communication and interpersonal skills
• Strong organizational skills
• Eligible to work in the US without sponsorship

STRONGLY PREFERRED

• Analytical and problem-solving skills and aptitude for learning quickly
• Experience working for a cloud provider or cloud consulting partner
• Previous experience in technical sales
• Attention to detail and comfort within fast-paced work environment
• US working hours, with emphasis on morning meetings for San Francisco-based candidates

Benefits

• Salary range $150,000 to $175,000
• Every other Friday off, i.e. 26 extra days off a year. Our team calls it a life-changing benefit. We think you’ll agree.
• 100% remote. Work where you feel most comfortable and productive. 
• Medical, dental and vision coverage, life insurance and disability
• 401k with up to 4% employer matching 
• LokaLabs™: Apply moonshot technologies to overlooked societal challenges in our internal incubator.
• Continuous Learning Support
• Paid vacation days, sick days and local holidays

Please submit your CV in English. 

At Loka our teams launch meaningful projects across a wide range of industries. In the last year we helped advance the world’s #1 AI reading tutor, transform rundown homes into green machines and accelerate novel drug discovery to fight leukemia. And we did it all while working 100% remotely and enjoying every other Friday off 😎

We’re seeking experienced technical sales reps or candidates with a strong technical background combined with customer-facing experience. You should take genuine joy in helping businesses succeed by diagnosing cloud architecture challenges and advising the most appropriate technical solutions. Your sales training is more important than your engineering and/or cloud account management experience: The former builds the kind of knowledge you’ll need to hit the ground running; the latter you’ll earn along the way.

As an AWS Generative AI Partner, we offer a unique platform to leverage your expertise and contribute to a vast array of innovative projects. A strong drive to compete and close deals is essential, but the ability to thrive in a team-driven environment will make you a great fit.

Responsibilities

• Lead all aspects of the sales process (prospecting, sales meetings, company introductions and presentations, proposals, negotiations and account management).
• Build, nurture and maintain relationships with potential clients and partners, including in-person meetings, lunches, conferences etc.
• Foster AWS relationship with existing and new teams to generate your own pipeline
• Own the pre-sales journey with Loka prospects, with the support of the engineering team.
• Understand the client’s business environment and communicate Loka’s value proposition clearly. Your ability to comprehend how software products are built—beyond just memorizing selling points—is crucial.
• Maintain current sales performance coaching software industry and product knowledge.
• Conduct market research to generate new business opportunities.
• Support stakeholders with data and asset resources.
• Manage projects for various sales initiatives.

Requirements

MUST HAVE

• 5+ years of sales experience in professional services or adjacent product selling experience
• Experience in environments with exposure to data infrastructure, machine learning and/or cloud architectures
• Experience working with cloud services, preferably with AWS, and strong understanding of core AWS services
• Ability to travel to meet clients and attend industry events up to 25% of the month
• Ability to prioritize multiple tasks with varying deadlines and adapt to changes in and market
• Excellent communication and interpersonal skills
• Strong organizational skills
• Eligible to work in the US without sponsorship

STRONGLY PREFERRED

• Analytical and problem-solving skills and aptitude for learning quickly
• Experience working for a cloud provider or cloud consulting partner
• Previous experience in technical sales
• Attention to detail and comfort within fast-paced work environment
• US working hours, with emphasis on morning meetings for San Francisco-based candidates

Benefits

• Salary range $150,000 to $175,000
• Every other Friday off, i.e. 26 extra days off a year. Our team calls it a life-changing benefit. We think you’ll agree.
• 100% remote. Work where you feel most comfortable and productive. 
• Medical, dental and vision coverage, life insurance and disability
• 401k with up to 4% employer matching 
• LokaLabs™: Apply moonshot technologies to overlooked societal challenges in our internal incubator.
• Continuous Learning Support
• Paid vacation days, sick days and local holidays

Please submit your CV in English. 

Key Responsibilities

Skills, Knowledge and Expertise

Requirements

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

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

Responsibilities

SaaS Application Development

• Detection:
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Protection:
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.

AI/ML and Algorithm Development

• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.

DevOps & Operationalization

• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.

Future-Focused Development

• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Requirements

Core Technical Skills

• Proficiency in Python and Ruby on Rails, with significant backend experience.
• Experience in designing secure systems, including encryption workflows and document protection mechanisms.
• Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
• Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
• Ability to operationalize AI/ML models and build workflows for enterprise clients.
• Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.

Nice-to-Have Skills

• Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
• Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
• Experience in DevOps, CI/CD pipelines, and secure release management.
• Background in security evaluations, vulnerability assessments, and tool integrations.

Other Requirements

• Strong testing background with experience in automated and manual testing.
• Ability to manage data recovery, audits, and compliance workflows.
• Strong problem-solving and analytical skills, with attention to detail in complex environments.
• Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting-edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting-edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

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.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Liminal is building the future of generative AI security, bringing safe and reliable AI to regulated industries. We’re a revenue-generating, well-capitalized startup backed by one of the top-performing venture studios in the U.S.

The Director of Product is a high-impact, hands-on product leadership role at a critical inflection point in the company’s journey. We’ve validated the product and market—now we need a product leader who can bring clarity, structure, and momentum to how we build.

This role owns both product strategy and day-to-day execution. You’ll partner closely with the CEO and CTO to translate company vision into a clear, executable roadmap and ensure the engineering team is building the right things, in the right order, for the right reasons.

This is not a large-team leadership role (yet). You’ll operate as an individual contributor product leader, laying the foundation for scalable product processes and positioning yourself to grow into a broader leadership role as the company scales.

What You’ll Do:

Product Strategy & Vision

• Define and communicate a clear product vision and roadmap aligned with company goals, customer needs, and market opportunity
• Translate high-level strategic objectives into prioritized, executable product initiatives
• Own the “why” behind product decisions and ensure alignment across leadership, engineering, and go-to-market teams
• Balance near-term delivery with long-term platform and expansion strategy

Product Execution & Delivery

• Own the end-to-end product development lifecycle from discovery through launch and iteration
• Lead agile ceremonies including sprint planning, backlog grooming, demos, and retrospectives
• Write clear user stories, requirements, and acceptance criteria that reduce ambiguity and accelerate delivery
• Maintain a prioritized backlog that balances customer feedback, business needs, and technical constraints
• Partner closely with engineering leadership to navigate tradeoffs, feasibility, and technical debt

Stakeholder & Customer Collaboration

• Serve as the single source of truth for what’s being built and why
• Synthesize feedback from customers, sales, customer success, and partners into actionable product insights
• Lead customer-facing product conversations, demos, and roadmap discussions
• Push back thoughtfully and with data when requests do not align with strategy

Data, Metrics & Market Insight

• Define success metrics for product initiatives and ensure proper instrumentation and visibility
• Use data to inform prioritization, measure impact, and iterate on product decisions
• Stay close to market trends, competitive landscape, and emerging technologies to identify opportunities

Foundation for Scale

• Establish product processes and artifacts that will scale with the organization
• Build product discipline without unnecessary bureaucracy
• Help shape the future product organization and prepare for team growth post-Series A

Requirements: 

Experience & Skills

• 6–8+ years of product management experience with ownership of both strategy and execution
• Proven experience operating as a hands-on product leader in an early-stage or fast-moving environment
• Strong background working with engineering teams in agile development environments
• Demonstrated ability to lead products from early validation through growth and iteration
• Experience balancing multiple stakeholders and making tough prioritization decisions

Product Mindset

• Highly structured thinker who brings order to ambiguity
• Comfortable operating at multiple levels—from strategic planning to sprint-level execution
• Strong bias toward action and shipping
• Data-informed decision maker with the ability to articulate tradeoffs clearly

Communication & Leadership

• Exceptional written and verbal communication skills
• Confident, clear, and decisive—able to lead without authority
• Comfortable engaging directly with customers and executives
• Strong sense of ownership and accountability

Nice to haves:

• Experience in AI, security, developer tools, or regulated industries
• Familiarity with cloud-native architectures and modern SaaS platforms
• Startup or seed-to-Series A experience
• Background working on products requiring compliance or security considerations

Compensation:

• $140k - $155k annual salary based on experience+ equity participation

Our Values:

• We are kind. We assume positive intent, celebrate co-workers' success, avoid toxic behaviors, and call out bad acting when we see it.
• We earn trust by being authentic, humble, and empathetic. Empathy is the cornerstone of building trust, and trust is a requirement in a world that is certain to be full of change.
• We are fearless, bold, honest, direct, and candid. We dare to challenge assumptions and push boundaries, and are not afraid when someone challenges us. If we make mistakes, which we will, they are unique and good opportunities to learn.
• We value discourse, not dissonance. Constructive discourse is exceptionally healthy and desirable. Expect to be challenged and rise to the occasion! Create space for the best ideas to rise to the top and let data be the ultimate decision-maker, not emotion.
• We seek understanding, not consensus. As leaders, we stand firm in our informed convictions until data overturns them. It’s healthy to disagree, but we commit to the outcome.
• We are owners. We empower each other to solve problems and take the initiative to meet our goals. We are purposeful and intentional in our thinking and know that we are individually accountable for our impacts on the company's results.
• We are curious and passionate about learning and constantly seek opportunities to grow and develop. Our space changes daily, and we adapt and mature with it.

Liminal is an equal-opportunity employer, and we value diversity at our company. We don’t discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.