Depthfirst, AI Jobs in Usa

Must be based in Miami, FL and available to work on-site 3X per week.

We Are Lucky Strike Entertainment.

Bowling, Arcade, Family Entertainment Centers. One company. Twelve brands. A career built around unforgettable experiences. Hospitality at our core; we put people first by creating meaningful connections and delivering memorable experiences to every guest, every time.

The Senior Vice President of Revenue Management & Pricing will lead the development and execution of enterprise pricing and revenue optimization strategies across the organization’s portfolio of entertainment venues. This executive will be responsible for driving sustainable revenue growth and margin expansion through dynamic pricing, advanced analytics, and AI-powered pricing solutions that respond to real-time demand signals.

This role will oversee revenue management, pricing strategy, commercial analytics, and pricing technology to ensure the organization maximizes yield across dayparts, seasonal demand, and customer segments. The SVP will partner closely with Marketing, Finance, Operations, and Technology to build a sophisticated pricing ecosystem that leverages automation, machine learning, and predictive analytics to continuously optimize performance while delivering strong customer value and engagement.

What You’ll Do

Strategic Revenue & Pricing Leadership

• Design and implement a comprehensive revenue management and pricing strategy aligned with company goals for revenue growth, margin optimization, and guest value perception.
• Lead the evolution from static pricing to dynamic, demand-based pricing models that consider factors such as daypart, demand elasticity, seasonality, location performance, and customer segmentation.
• Establish pricing governance frameworks to guide promotional strategy, discount structures, and enterprise pricing policies.
• Develop testing and experimentation frameworks to continuously refine pricing strategies through data-driven insights.

AI-Driven Pricing & Technology Innovation

• Lead the implementation and optimization of AI-powered pricing solutions that leverage machine learning, predictive modeling, and real-time demand signals.
• Evaluate and deploy pricing technology platforms capable of automated price adjustments based on utilization, booking velocity, weather, competitive data, and historical trends.
• Partner with Product and Technology teams to integrate AI pricing capabilities with POS systems, reservation platforms, CRM systems, and loyalty platforms.
• Champion a data-first culture by embedding automation and advanced analytics into everyday pricing and revenue decisions.
• Ensure pricing systems are scalable, automated, and capable of adapting to rapidly changing demand conditions across all locations.

Analytics & Revenue Optimization

• Build and oversee advanced pricing models using statistical forecasting, machine learning, and predictive analytics.
• Monitor pricing performance against key metrics including revenue per location, yield per lane or experience, utilization rates, contribution margin, and customer lifetime value.
• Conduct competitive and market pricing analysis to ensure optimal positioning across markets.
• Partner with FP&A to forecast the financial impact of pricing strategies and track performance against revenue and margin targets.
• Lead commercial analytics initiatives to uncover insights across pricing, promotions, guest behavior, and market demand patterns.

Loyalty & Customer Value Programs

• Collaborate with Marketing and Customer Experience teams to align loyalty strategy with revenue management and pricing initiatives.
• Leverage loyalty and guest data to inform personalized pricing strategies, promotions, and targeted offers.
• Analyze loyalty program performance and customer engagement trends to improve retention, visitation frequency, and lifetime value.
• Integrate loyalty insights into dynamic pricing models to deliver value while maximizing revenue.

Operational Execution

• Partner with regional and location leadership to ensure pricing strategies are practical, executable, and aligned with local market dynamics.
• Ensure pricing strategies can be seamlessly deployed across all locations through centralized systems and automation.
• Establish operational processes for pricing updates, approvals, and exception management.
• Support field teams with clear communication, training, and tools to ensure consistent pricing execution.

Cross-Functional Collaboration

• Work closely with Marketing to align promotional strategies, campaigns, and offers with enterprise pricing strategy.
• Partner with Operations to ensure pricing models align with operational realities and guest experience expectations.
• Collaborate with Technology and Product teams on system requirements for pricing automation, forecasting tools, and advanced analytics.
• Provide executive leadership with insights on pricing trends, market conditions, and revenue optimization opportunities.

Leadership & Team Development

• Build and lead a high-performing team focused on revenue management, pricing strategy, and commercial analytics.
• Develop internal capabilities in advanced analytics, pricing science, and AI-enabled revenue optimization.
• Foster a culture of innovation, experimentation, and data-driven decision making across the organization.

What You’ll Bring

• 10+ years of experience in revenue management, pricing strategy, or commercial analytics roles within multi-location, consumer-facing industries such as hospitality, entertainment, travel, retail, or leisure.
• Proven track record designing and scaling dynamic pricing strategies across large multi-unit environments.
• Experience implementing AI-driven pricing platforms, predictive analytics tools, or automated revenue management systems.
• Strong analytical expertise in pricing optimization, demand forecasting, elasticity modeling, and customer segmentation.
• Demonstrated leadership experience building and managing high-performing teams.
• Ability to influence senior executives and collaborate cross-functionally with operations, finance, marketing, and technology leaders.
• Experience integrating pricing systems with POS platforms, CRM systems, loyalty platforms, and enterprise analytics tools.

Key Metrics of Success

• Revenue growth and margin expansion driven by pricing and revenue management strategies.
• Increased yield per location across peak and off-peak demand periods.
• Improved utilization through demand-based and AI-driven pricing optimization.
• Higher customer retention and engagement through personalized value-based pricing.
• Seamless deployment of pricing updates across all locations with minimal operational disruption.
• Development of a scalable, automated pricing infrastructure powered by advanced analytics and AI.

What You’ll Get

At Lucky Strike Entertainment, we’re committed to supporting your well-being both on and off the job. Here's a peek at some of the benefits available to our Corporate associates:

• Medical, Dental, Vision plans to select from based on your needs
• Wellness resources to help you along your wellness journey
• 401(K) Retirement Plans
• Employee Stock Purchase Program
• Employee Assistance Program (EAP)
• Vacation and Holidays
• Perks! Bowling, Boomer's, and Waterpark discounts, Retail discounts, Event discounts and more!

Company Description

National Technology Management (NTM) has been delivering AI-driven Managed IT and Cybersecurity solutions since 1997. With a focus on innovation, commitment, and excellence, NTM protects organizations against accelerating cyber threats through 24/7 managed cybersecurity and proactive threat detection. By utilizing AI-powered tools, automation, and streamlined solutions, NTM helps businesses elevate efficiency, drive revenue growth, and optimize technology performance while minimizing risk. Headquartered in Franklin, MI, NTM partners with multi-location businesses and compliance-focused industries that prioritize measurable outcomes and technological optimization.

Service Delivery Manager (SDM)

Reports To: Integrator / COO

Environment: Mid-Market / Enterprise MSP (Multi-client, SLA-driven operations)

Direct Reports: Service Desk Lead, Project Manager / Delivery Lead, Field Service Technicians

Position Summary

The Service Delivery Manager (SDM) is responsible for end-to-end IT service delivery across a mid-market/enterprise MSP environment. This role ensures consistent SLA performance, operational stability, and high-quality customer experience across all managed accounts.

The SDM acts as the primary operational owner of service health—balancing people leadership, escalation management, process discipline, and cross-functional coordination with engineering and project delivery teams.

A key expectation of this role is driving continuous optimization through automation, tooling, and AI enablement to improve efficiency, scalability, and service quality.

This is a highly visible leadership role requiring strong structure, calm decision-making, and the ability to drive accountability across technical and service teams.

Core Responsibilities

Service Delivery & SLA Performance

• Own day-to-day MSP service performance across all clients
• Monitor SLA adherence, ticket aging, backlog health, and service quality metrics
• Leverage dashboards, analytics, and AI-driven insights to proactively identify risks and trends
• Drive continuous optimization of service workflows to improve resolution speed and efficiency
• Serve as final escalation point for service-related issues

Customer Experience & Escalations

• Ensure consistent, predictable, high-quality customer experience
• Lead resolution of high-severity escalations with urgency and professionalism
• Utilize automation and knowledge systems to improve response consistency and speed
• Ensure all escalations are properly documented, resolved, and communicated
• Partner with Account Management on QBRs and strategic client reviews, incorporating service insights and improvement opportunities

Team Leadership & Accountability

• Lead and develop Service Desk, Field Technicians, and Project/Delivery resources
• Drive adoption of automation tools and AI-assisted workflows within the service team
• Conduct regular 1:1s, performance reviews, and coaching sessions
• Build a culture of accountability, continuous improvement, and operational excellence
• Enable teams to reduce manual effort through standardization and intelligent tooling

Operational Excellence, Automation & Process Governance

• Enforce SOPs, runbooks, security policies, and documentation standards
• Identify and eliminate inefficiencies through process optimization and automation
• Maintain PSA hygiene (time entry accuracy, ticket classification, billing integrity)
• Own service cadences including daily huddles and weekly operations reviews
• Continuously improve service delivery processes with a focus on scalability and repeatability
• Champion the use of AI and automation to reduce ticket volume, accelerate resolution, and improve consistency

Engineering & Cross-Functional Coordination

• Partner with Engineering leadership to ensure service stability and support alignment
• Collaborate on automation initiatives, platform optimization, and tool stack effectiveness
• Coordinate on incident response, platform health, and technical debt reduction
• Identify opportunities for AI, scripting, and workflow automation to improve service delivery efficiency
• Ensure engineering resources supporting service delivery are effectively prioritized

Onboarding & Project Oversight

• Ensure new client onboarding is consistent, predictable, and well-executed
• Incorporate automation and standardized processes into onboarding to reduce variability and risk
• Oversee Project/Delivery function to ensure:
• On-time implementation
• Clear communication
• Margin protection
• Minimal post-onboarding escalations
• Continuously refine onboarding to reduce manual effort and improve speed to steady state

Capacity, Optimization & Resource Planning

• Manage staffing levels and resource allocation across service teams
• Use data, forecasting, and automation to optimize resource utilization
• Proactively address workload imbalances and capacity constraints
• Improve efficiency through workload distribution, tooling, and process improvements
• Ensure service coverage aligns with SLA requirements and organizational growth

Key Performance Indicators (KPIs)

• SLA compliance rate
• Ticket backlog health & aging metrics
• Escalation frequency and resolution time
• Onboarding success rate
• Customer satisfaction (CSAT/NPS)
• PSA data accuracy and operational compliance
• Automation adoption rate and efficiency gains (e.g., reduced ticket volume, improved resolution time)

Ideal Candidate Profile

• Calm, structured leader who performs well under pressure
• Strong operational and process discipline mindset
• Data-driven decision maker with strong analytical instincts
• Experience driving automation, process optimization, and AI adoption in service environments
• Proven ability to lead technical and service delivery teams
• Excellent communicator and trust-builder with clients and internal teams
• Experienced in MSP, IT services, or enterprise IT operations environments

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.

Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, specializations, professional certificates, and degrees. Coursera's platform innovations including generative ai-powered features like coach, role play, and course builder, and role-based solutions like skills tracks enable instructors, partners, and companies to deliver scalable, personalized, and verified learning.

Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as genai, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.

At Coursera, we're looking for inventors, innovators, and lifelong learners ready to shape the future of education. You'll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.

We're a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you're ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.

As a Staff Product Manager, you will play a pivotal role in shaping Coursera's product vision, delivering exceptional learner and partner experiences, and driving measurable business impact. You will operate at the intersection of strategic thinking and hands-on execution, navigating ambiguity while influencing cross-functional teams.

Customer-centric curiosity: Exhibit deep curiosity to understand customers and all elements influencing their experience, offering comprehensive, integrated solutions that address real needs.

Thriving in ambiguity: Operate effectively in uncertain, fast-changing environments, as often found in startup-like situations.

Balanced skills vs. domain experience: While domain expertise is beneficial, strong intellectual capacity, curiosity, proactiveness, and solid foundational product skills enable quick adaptation even without prior domain exposure.

Strategic & tactical agility: Seamlessly switch between defining long-term vision and deep-diving into execution details when required.

Ic excellence: As an individual contributor, comfortably navigate between strategy and execution to deliver impact.

Integrated experience design: A track record of designing end-to-end integrated experiences is a strong plus.

Tool familiarity: Familiarity with tools in the pm space, such as Jira, Figma or generative ai tools, though tool-specific experience is less crucial. A capable pm with strong core skills will learn quickly.

Speed of innovation: Demonstrates the ability to rapidly prototype, test, and iterate solutions to keep pace with evolving customer needs and emerging technologies. Balances speed with rigor to deliver impactful outcomes quickly.

As a Staff Product Manager, you will define and drive product strategy and own the roadmap for a high priority area of the Coursera platform, such as AI-powered assessment or agentic enterprise integration.

Translate customer insights and market trends into integrated solutions that can scale to serve millions of learners and customers around the world.

Lead execution from ideation and analysis through development and launch, delivering measurable outcomes.

Partner with Engineering, Design, and Data teams to deliver AI-powered product features and experiences.

Leverage data and customer feedback to inform decisions and continuously improve.

Mentor peers and contribute to building a high-performing product organization.

You have experience building, using, or experimenting with AI-driven products, particularly in the areas of workflow automation, conversational AI, decision support, or agentic AI, and transitioning from traditional UI to AI-driven or AI-first product.

You have a high bar across the board - from your own contributions to the people you work with, to the products you work on.

This role is available in the following US Pay Zones:

Zone 2: $180,00 - $228,000 Zone 3: $167,000 - $209,000 Zone 4: $156,000 - $195,000

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

US Pay Zones:

• US-Z1: Bay Area
• US-Z2: NYC and Seattle Metro
• US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
• US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI

About Straia

At Straia, we're building the AI-native intelligence layer for colleges and universities.

Today, colleges run on dozens of disconnected systems, forcing staff to spend hundreds of hours manually reconciling data, compiling reports, and tracking down insights. Straia changes that. We unify institutional data and layer on AI agents that answer questions, generate insights/visualizations, and automate repetitive workflows, transforming how colleges operate.

Over time, Straia will evolve into the core intelligence layer for institutional operations, where every function, from student advising to admissions to budgeting and resource planning, is supported by collaborative AI agents that understand each institution's unique data landscape.

We recently raised our pre-seed from a16z, Reach Capital, and JFF Ventures, and are now hiring a founding backend engineer to help build the technical backbone of how institutions interact with their data.

The Role

As a Founding Engineer at Straia, you'll work directly with a small team including directly with our CEO (Ryan), CTO (Alan) and CPO (Nikki) to design, build, and scale the core infrastructure of our platform.

This is a 0 → 1 opportunity to shape not just the product, but the engineering culture, architecture, and trajectory of the company. You'll ship fast, make key technical decisions, and help define how AI can power the next generation of enterprise data intelligence.

We're specifically looking for someone who consistently raises the bar. The kind of engineer whose default speed and judgment increase the velocity of everyone around them. If you thrive when expectations are high and the pace is fast, you'll feel right at home

What You'll Do

• Build the core platform — architect and implement services spanning data ingestion, query orchestration, and agentic AI workflows
• Ship end-to-end features across our React + Node.js + Postgres stack, integrating directly with LLMs like GPT, Gemini, and Claude
• Scale infrastructure on GCP for performance, reliability, and data security
• Collaborate with users (university data teams and administrators) to translate real problems into elegant, powerful solutions
• Lay the foundation for Straia's engineering culture, best practices, and technical roadmap
• Prototype fast, iterate faster — your work will directly shape how education leaders experience AI in their daily decision-making

Who You Are

• 4–7 years of experience building and shipping full-stack applications, with a strong emphasis on backend systems (Node.js, TypeScript, Postgres).
• Deeply technical, with a track record of building scalable, high-quality software
• Startup-minded — you thrive in ambiguity, love building from scratch, and see constraints as creative fuel
• Mission-driven — excited to improve education through technology that makes institutions smarter, faster, and more equitable
• Collaborative and high-agency — you take initiative, value clear communication, and have the instincts of an owner, not an employee
• AI-curious or experienced — exposure to LLMs, vector databases, or prompt engineering is a plus

Our Stack

• Frontend: React + Vite
• Backend: Node.js + Express, orchestrating data and AI agent workflows
• Data Layer: Postgres + Caching for fast queries
• LLM Integration: GPT, Gemini, Claude via API
• Cloud & Infra: Hosted on GCP

Why Join Straia

• Be one of the first engineers at a venture-backed AI company redefining institutional intelligence in higher ed
• Shape the core architecture and engineering culture from day one
• Work directly with top-tier investors and advisors from a16z, Reach, and JFF Ventures
• Join a small, fast-moving team that works incredibly hard, ships fast, and still makes time for good food, laughs, and adventures — we take our work seriously, but not ourselves
• Build meaningful technology that directly impacts student success and equity across colleges nationwide

What We Offer

• Compensation: $160K–$225K + equity
• Location: San Francisco (in office 4 days a week)
• Benefits: Health (platinum insurance), dental, and vision

**We do not sponsor Visas**

About LegalOS

LegalOS is a YC-backed immigration law startup that combines cutting-edge AI with experienced attorney oversight to deliver faster, smarter visa petitions. We specialize in business immigration—O-1A/O-1B extraordinary ability, EB-1A, EB-2 NIW, and H-1B visas—and operate an attorney-in-the-loop model where AI accelerates research, drafting, and case strategy while licensed attorneys make every legal decision.

We’re a small, high-output team that punches well above its weight. If you want to do meaningful immigration work, learn fast, and help build something from the ground up—this is the role.

The Role

We’re looking for an Immigration Operations Lead with hands-on experience in business immigration—whether that’s as a paralegal, immigration assistant, or in another operational role at a firm or company that handles employment-based visas. You should know visa categories like O-1A, EB-1A, EB-2 NIW, and H-1B inside and out—not from a textbook, but from actually building cases, assembling evidence packages, and navigating USCIS adjudication standards. You know what a strong petition looks like and what gets an RFE.

You’ll own the operational side of our case portfolio—managing timelines, coordinating evidence collection, preparing filings, and communicating directly with clients over email, video, and Slack throughout the petition process. You’ll work alongside our supervising attorney and client-facing team to make sure every case is strategically airtight and filed on time.

This is not a traditional immigration role. We’re building at the intersection of AI and immigration law, and we need someone who’s genuinely excited about that. You’ll use AI-powered tools daily to draft petition documents, analyze case strategy, and build evidence packages. We don’t need you to be a technologist—we need you to be a sharp immigration professional who sees AI as a force multiplier for doing better legal work.

What You’ll Do

•      Manage a portfolio of business immigration cases (O-1A, EB-1A, EB-2 NIW, H-1B) from intake through approval—you own the case, not just pieces of it

•      Build petition packages that win: draft cover letters, structure exhibits, compile and organize evidence of extraordinary ability or national interest

•      Coordinate evidence collection with clients—chase down recommendation letters, compile publications and citation records, gather awards, press coverage, and salary data

•      Draft and refine petition narratives and support letters using AI-assisted tools, flagging unverified claims and weak spots for attorney review

•      Conduct case assessments: evaluate client profiles against USCIS criteria, identify evidence gaps, and recommend filing strategies before the attorney consultation

•      Communicate directly with clients over email, video, and Slack—provide status updates, answer procedural questions, manage expectations, and keep cases moving forward

•      Monitor USCIS processing times, policy updates, and RFE trends—you’re the team’s source of truth on what’s happening at the agency

•      Help improve and systematize our internal workflows, templates, and AI-assisted processes as we scale

Who You Are

You’re smart, self-sufficient, and relentlessly detail-oriented. When someone describes their background, you’re already mapping it to O-1A criteria or thinking about whether NIW is the stronger play. You’ve seen enough cases to know what evidence actually moves the needle with USCIS and what’s filler. You pick things up fast, you don’t let things fall through the cracks, and when you get feedback you actually incorporate it—quickly and without needing to be told twice.

Must-Haves

•      3+ years of hands-on experience in business immigration—as a paralegal, immigration assistant, case coordinator, or similar operational role where you personally prepared and filed employment-based petitions (O-1, EB-1, EB-2 NIW, H-1B)

•      Deep familiarity with USCIS evidentiary standards, filing procedures, and forms (I-129, I-140, I-485)—the kind of knowledge that comes from building real cases, not just reading about them

•      Extremely detail-oriented—you catch inconsistencies in dates, job titles, evidence, and filing requirements before they become problems, and you take pride in getting things right the first time

•      A quick learner who can absorb new tools, processes, and feedback rapidly and apply them independently going forward

•      Strong written communication: you can draft persuasive petition narratives, articulate a client’s extraordinary ability, and write client-facing messages that are clear, professional, and on-brand

•      Self-sufficient and organized—you can manage multiple active cases simultaneously, prioritize without hand-holding, and proactively flag issues before they escalate

•      Receptive to feedback and committed to continuous improvement—you take coaching well, integrate it into your work, and don’t repeat the same mistakes

•      Comfortable communicating with clients across multiple channels (email, Slack, video) and keeping them informed without being prompted

•      Genuine interest in working with AI tools to do better immigration work—you don’t need prior AI experience, but you should be curious, adaptable, and excited about what’s possible

•      Available to work in person at our San Francisco office at least 3 days per week

Nice-to-Haves

•      Direct experience with O-1A or EB-1A petitions—you understand extraordinary ability criteria and how to structure evidence across multiple prongs

•      Paralegal certificate or bachelor’s degree in a related field

•      Familiarity with legal tech platforms, case management software, or document automation tools

•      Startup or small-team experience—you thrive without heavy process and can figure things out independently

•    Bilingual (any language)—many of our clients are international professionals

Salary: $85K-$110K

QASource is a leading provider of software QA and testing services, supporting enterprise and high-growth technology companies. We integrate directly with engineering and product teams to deliver scalable, high-quality testing solutions across automation, manual testing, performance, security, and AI-driven QA.

Our clients expect senior-level partnership, technical fluency, and strategic account leadership.

The Senior Technical Account Manager (Sr. TAM) is responsible for managing and expanding a focused portfolio of strategic, enterprise-level accounts within a defined territory. This role requires ownership of multi-million-dollar revenue targets, executive-level relationship management, and the ability to drive account expansion through consultative, technically informed engagement.

This is not a support role. The Sr. TAM serves as a strategic advisor to Engineering Directors, VPs, CTOs, and QA leadership, ensuring delivery excellence while proactively identifying and executing growth opportunities within existing accounts.

The Sr. TAM will manage a high-touch portfolio of approximately 5–8 strategic enterprise accounts. Success in this role requires disciplined account planning, proactive client engagement, in-person relationship development, and the ability to creatively land and expand business across multiple stakeholders within complex organizations.

Responsibilities:

Account Ownership & Revenue Growth

• Own and manage a multi-million-dollar quota across a defined portfolio of 5–8 strategic enterprise accounts.
• Drive structured and strategic upsell and cross-sell initiatives within existing customers.
• Identify whitespace opportunities across QA, automation, performance, security, and AI-enabled services.
• Close meaningful expansion deals, including engagements of $150K+.
• Develop creative, value-driven approaches to land-and-expand initiatives across Engineering Directors, VPs, and CTO-level stakeholders.
• Partner with delivery leadership to align technical execution with commercial growth objectives.

Executive Relationship Management

• Build and maintain trusted relationships with Engineering Directors, VPs, CTOs, and C-suite stakeholders.
• Conduct regular in-person customer visits within assigned territory.
• Lead in-person Quarterly Business Reviews (QBRs) focused on measurable outcomes, roadmap alignment, and strategic growth opportunities.
• Serve as the executive escalation point for complex delivery or client challenges.

Strategic Account Planning & Execution

• Develop and maintain comprehensive strategic account plans for each assigned customer.
• Maintain clear documentation of stakeholder mapping, growth objectives, expansion pathways, and execution milestones.
• Track progress against defined revenue and relationship goals.
• Execute consistently against a structured path toward growth.
• Demonstrate strong organizational discipline in account tracking, forecasting, and internal coordination.
• Organization, planning rigor, and follow-through are critical success factors in this role.

Technical & AI Fluency

• Maintain broad knowledge of emerging AI technologies and their impact on software quality and engineering workflows.
• Proactively stay current on AI tools, automation advancements, and testing innovations.
• Translate AI-driven opportunities into relevant, business-aligned discussions with engineering stakeholders.
• Position QASource’s AI-augmented testing capabilities in alignment with customer technology strategies.

Technical & Delivery Alignment

• Collaborate closely with QA Managers, Engineering teams, and project leaders.
• Translate technical delivery insights into executive-level business value discussions.
• Proactively identify risks and implement mitigation strategies.
• Ensure seamless integration of QASource services into client engineering environments.
• Demonstrate a practical understanding of how software is built, tested, and released within modern SDLC frameworks.

Required Qualifications:

• 8–10+ years of experience in Technical Account Management, Enterprise Sales, Customer Success, or a related client-facing technical role.
• Proven ownership of multi-million-dollar revenue targets.
• Demonstrated success closing $150K+ expansion or new deals.
• Documented track record of expansion within a focused portfolio of strategic accounts.
• Experience managing a limited book of business (ideally 5–20 accounts; this role will manage 5–8).
• Direct experience working with Engineering Directors, VPs, CTOs, or C-suite stakeholders.
• Technology industry background specifically within software, SaaS, cloud platforms, DevOps, QA, or technical services environments.
• Demonstrated general understanding of the Software Development Lifecycle (SDLC) and how Quality Assurance integrates into development processes.
• Prior experience engaging with engineering, QA, or product teams in a software delivery context.
• Strong executive presentation skills and ability to conduct in-person QBRs.
• Demonstrated ability to creatively mine and expand accounts.
• High level of organization and structured account planning discipline.
• Stable career progression.

Preferred Qualifications:

• Background in QA, software development, DevOps, or technical services environments.
• Familiarity with CI/CD pipelines, automation frameworks, API integrations, performance testing, or AI-enabled testing tools.
• Experience operating within a territory-defined account ownership model.
• Experience in professional services or distributed delivery environments.
• MBA or advanced technical degree (preferred but not required).

Core Competencies:

• Executive presence and professionalism.
• Revenue accountability.
• Strategic account planning and disciplined execution.
• Technical credibility within software engineering environments.
• AI awareness and forward-thinking mindset.
• Consultative, value-based communication.
• Risk identification and mitigation.
• Proactive, structured account leadership.

Why Join QASource:

• Manage a focused portfolio of high-value enterprise technology clients.
• Drive measurable revenue expansion through strategic value creation.
• Partner directly with engineering and executive leadership teams.
• Operate in a technically rigorous, innovation-driven organization focused on quality and long-term partnerships.

Salary Range:

• $110,000 - $120,000 per annum (30% Variable).

Perks:

• Health, vision, and dental benefits.
• 401(k) with company match.
• Paid time off and holidays.
• Wellness programs and professional development opportunities.

Technical Sales Account Manager (AI / Technology Accounts)

Experience: 5–10+ years

Industry: AI / Cloud / Enterprise Technology

About the Role

We are looking for a Technical Sales Account Manager with strong experience working with leading AI and technology-driven organizations such as Google, Slalom, Mphasis, Glean.AI or similar firms.

This role is ideal for someone who can blend technical expertise with strategic account management, helping grow and expand existing client relationships while identifying new opportunities within key accounts.

Key Responsibilities

Account Mining & Growth

Identify and develop opportunities within existing accounts

Drive revenue growth through upselling and cross-selling AI/technology solutions

Build long-term strategic account plans

Client Relationship Management

Establish and nurture relationships with key stakeholders and decision-makers

Act as a trusted advisor to clients by understanding their business and technical needs

Technical Sales Engagement

Work closely with engineering and product teams to deliver tailored solutions

Translate complex technical concepts (AI/ML, cloud, data platforms) into business value

Support solutioning, proposals, and client presentations

Collaboration

Partner with internal teams (delivery, pre-sales, product) to ensure successful execution

Coordinate across cross-functional teams to drive customer success

Required Qualifications

5+ years of experience in technical sales, account management, or client partner roles

Proven experience working with AI/ML, cloud, or data-driven solutions

Background with companies such as Google, Slalom, Infosys, Accenture, or similar consulting/tech firms

Strong understanding of:

AI/ML concepts

Cloud platforms (GCP, AWS, Azure)

Enterprise software solutions

Key Skills

Strong account mining and expansion skills

Excellent communication and stakeholder management

Ability to bridge business and technical conversations

Strategic thinking with a growth mindset

Highly client-focused and relationship-driven

Preferred Qualifications

Experience selling or supporting AI-driven solutions or platforms

Prior experience managing enterprise or Fortune 500 accounts

Technical background (Engineering, Computer Science, or related field)

What We’re Looking For

A technical-savvy sales professional who can engage deeply with engineering and business teams

Someone who thrives on building relationships and growing accounts

A proactive individual who can identify opportunities and drive them to closure

WHO WE ARE

We’ve built the Governance Layer for Enterprise AI Agents.

As companies deploy agents across core workflows, accountability, auditability, and control are breaking. We sit between enterprises and their agents — enforcing policy, enabling visibility, and providing the compliance infrastructure required to run AI in production.

This is not a feature. It’s critical infrastructure for regulated, high-stakes environments.

ABOUT THE ROLE

We’re looking for a network-driven operator to source and open enterprise partner opportunities, not sell SaaS, but identify real deployments, use cases, and design partners.

You will work directly with the founder to turn relationships into live AI governance use cases inside enterprises.

Your job: find where agents are being deployed, and insert our layer.

WHAT YOU’LL DO

• Activate your network to identify enterprises deploying AI agents (Ops, CX, Finance, Compliance)
• Open doors with C-level, Heads of AI, Engineering, Risk, and Operations
• Drive partner conversations from first touch → use case → design partnership
• Qualify where governance, auditability, and control gaps exist
• Build and manage a tight pipeline of partner opportunities
• Arm the founder with context, stakeholders, and deal dynamics
• Represent the company in high-trust environments (small rooms, not booths)
• Feed back market signals: where agents are breaking, what enterprises need to deploy at scale

WHAT THIS IS NOT

• Not transactional SaaS closing
• Not SDR/cold dialing
• Not marketing or events
• Not investor relations

WHAT YOU BRING

• 3–7 years in high-trust, network-driven roles (VC, banking, consulting, partnerships, early enterprise sales)
• A real network inside enterprises or adjacent ecosystems (cloud, consulting, data, AI)
• Ability to translate technical systems into business risk + opportunity
• Strong instinct for where deals and use cases actually happen
• High ownership — you create surface area, not wait for it

BOTTOM LINE

• This is a hunter role for enterprise AI partners.
• If you can open doors where AI agents are already in motion, you’ll win here.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Locations: United States

About the job you’re considering

We are seeking a dynamic and experienced Delivery , Solutioning, Senior Pre-Sales & Go-to-Market (GTM) expert to drive our SAP Data & Analytics practice growth. This role combines strategic market planning with hands-on pre-sales and solutioning expertise. You will collaborate closely with sales, delivery, marketing, and alliance teams to create compelling value propositions and win strategic SAP deals focused on data and analytics (including SAP Datasphere, SAC, BTP, MDG, BDC, BODS/Syniti and related technologies)

You Role:

Go-to-Market Strategy:

• Develop and execute GTM strategies for SAP Data & Analytics offerings
• Identify high-growth areas (e.g., S/4HANA migrations, Data Governance, Datasphere adoption, BDC, AI/ML on SAP data)
• Collaborate with SAP alliance and marketing teams on campaigns, events, and solution launches
• Track market trends, competitor offerings, and customer needs to refine strategy

Pre-Sales & Solutioning:

• Lead pre-sales engagements including discovery, RFP responses, solution design, orals and client presentations
• Conduct client workshops and articulate value propositions across industries and SAP landscapes
• Design and propose end-to-end SAP Data & Analytics architectures leveraging BTP, Datasphere, SAC, HANA, MDG, BDC etc.
• AI in everything we do – must have experience in proposing AI-based solutions for the entire solution portfolio (ability to draw the solution architecture and estimate the staffing and cost)
• Create reusable solution accelerators, demos, and sales collateral with delivery teams

Sales Enablement:

• Support SAP sales and account teams with opportunity shaping and deal closure
• Build and manage a pipeline of opportunities and drive them through the sales lifecycle
• Educate internal teams on SAP data and analytics offerings and GTM playbooks

Thought Leadership:

• Represent the company in SAP events, webinars, and industry forums
• Publish blogs, whitepapers, and thought leadership content on data and analytics trends in SAP ecosystem
• Orchestrate solutions using AI

Required skills:

• 15+ years of experience in SAP ecosystem with deep expertise in Data & Analytics (either deep delivery experience of multiple global deployments or deep pre-sales experience)
• Strong knowledge of Data migration tools and methodology, Data Quality, SAP Datasphere, SAP BTP, SAC, MDG, SAP BDC and integration with non-SAP tools
• Strong knowledge of AI and how to design/deliver AI-native solutions in the Data and Analytics space
• Proven track record in pre-sales, GTM planning, and enterprise solutioning
• Experience working in or with consulting and services organizations
• Ability to engage C-level stakeholders with business and technical messaging
• Excellent communication, storytelling, and proposal writing skills
• Experience working with SAP alliance teams is a plus

The base compensation range for this role in the posted location is: $121,500 - $268,170

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Associate Director of Communications Systems

Arlington, VA (On-Site)

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

Overview

Ennoble Care is seeking an Associate Director of Communications Systems to own our Dialpad and Zoho CRM platforms end to end—from day-to-day administration to the analytics that drive operational decisions for clinical leadership and the C-suite.

This is not just a systems administration role. You'll inherit active automation projects in Zoho (workflow rules, field permissions, validation logic, cross-module integrations) and a growing analytics practice around Dialpad call data (transfer acceptance rates, queue performance, agent productivity). You'll be expected to build on both—and you'll have AI tools at your disposal to do it. We're actively using AI to automate workflows, analyze call data, and eliminate manual processes across both platforms. You'll be expected to leverage these tools to move faster than a traditional admin ever could.

You'll report directly to the CIO and have regular visibility with the COO and executive leadership. This position is on-site at our Arlington, VA corporate headquarters.

Key Responsibilities

Dialpad Administration & Analytics (~610 users across 15+ offices and 11 states)

• Manage user provisioning/deprovisioning, license management (Connect vs Contact Center), number assignment, and extensions

• Configure and optimize call routing, IVR structures, queues, and office/department setup

• Build and maintain performance dashboards for clinical operations leadership—transfer acceptance rates (warm vs cold), queue performance, agent productivity, ring timeout analysis, voicemail detection

• Leverage AI tools to automate call data analysis, anomaly detection, and recurring reporting

• Track and report on KPIs weekly: call answer rate, abandon rate, average speed to answer, queue wait time

• Conduct root cause analysis when performance dips—whether it's a routing issue, a training gap, or a staffing constraint

• Serve as primary technical contact with Dialpad support and account team

• Troubleshoot call quality issues, agent status problems, and routing errors

Zoho CRM Administration & Automation (~50+ liaisons, scaling to 100+)

• Manage user creation, role/profile management, field-level permissions, module configuration, and layout customization

• Own and extend existing workflow automations—bonus point calculations, pathway expiration enforcement, focused pathway caps, cross-module lookups (house call / hospice), referral-to-liaison mapping

• Drive data integrity: account deduplication, referral source accuracy, sync monitoring between Zoho, OA (OperationsAccel), and MatrixCare

• Build liaison performance dashboards and automate the pulse report

• Reduce bonus reconciliation from ~16 hours/month of manual work to near-zero through automation

• Use AI-assisted development to build and iterate on Zoho workflow rules, validation logic, and cross-module integrations faster

Integrations & Cross-Platform

• Coordinate user lifecycle (provisioning/deprovisioning) across Dialpad and Zoho as part of onboarding/offboarding workflows

• Maintain integrations between Dialpad, Zoho, CallRail, and other systems

• Monitor sync reliability between Zoho, OA, and the Dialpad data warehouse (Azure SQL)

• Support other no-code/low-code tools (Scribe, Keragon, Emitrr) as needed

Performance Monitoring & Reporting

• Track and report on Dialpad and Zoho KPIs weekly to leadership

• Identify trends and proactively address issues before they impact metrics

• Support Operations Analyst with data extraction for deeper analysis

Documentation & Training

• Create and maintain system documentation, runbooks, and SOPs

• Develop training resources to improve adoption and reduce errors

• Conduct end-user training for new hires and existing staff

What Success Looks Like

• You own Dialpad and Zoho administration completely—user provisioning, routing changes, and system configuration no longer route through the helpdesk or the CIO

• Leadership gets recurring, self-service visibility into call center performance and liaison productivity without asking for it

• Manual reconciliation work that currently takes 16+ hours/month is automated or eliminated

• When something breaks or trends in the wrong direction, you catch it before anyone else does

Qualifications

Required

• 3+ years of experience administering a cloud communications platform (Dialpad, RingCentral, 8x8, Five9, or similar)

• 2+ years of experience administering a CRM (Zoho CRM strongly preferred; Salesforce acceptable)

• Hands-on experience building CRM automations—workflow rules, validation rules, field-level security, cross-module lookups

• Comfortable writing SQL queries for analytics (you'll query an Azure SQL data warehouse—and use AI tools to accelerate query development and analysis)

• Experience building dashboards or reports in Power BI, Looker, or similar

• Strong analytical skills—able to interpret data and identify root causes

• Excellent communication skills with ability to present metrics to leadership

• Strong attention to detail—you'll reconcile bonus payments where errors directly impact employee compensation

• Ability to work on-site in Arlington, VA

Preferred

• Zoho CRM administration certification

• Experience with Zoho-to-external-system integrations (webhooks, APIs, middleware like Zoho Flow)

• Healthcare industry experience (home health, hospice, or multi-site provider groups)

• Experience with Dialpad specifically (API, webhooks, admin console, contact center configuration)

• Familiarity with data warehousing concepts and ETL pipelines

• Experience using AI/LLM tools (Claude, ChatGPT, Copilot) to accelerate technical work—writing automations, analyzing data, building integrations

• Background in contact center operations (not just IT administration)

What We Offer

• Ownership of two mission-critical platforms with direct impact on business performance

• Direct visibility with CIO, COO, and executive leadership

• AI-forward team—you'll have enterprise AI tools and an automation backlog with clear ROI from day one

• Growing organization—the systems you build now will scale with 2x liaison headcount and continued M&A expansion

• Competitive compensation and benefits package

• Career growth opportunities within IT and operations

Compensation

Salary Range: $90,000 - $110,000 with 10% Bonus based on Annual KPIs

Benefits

Full-time employees qualify for the following benefits:

• Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity

• Paid Time Off

• Paid Office Holidays

All employees qualify for these benefits:

• Paid Sick Time

• 401(k) with up to 3% company match

• Referral Program

• Payactiv: pay-on-demand — cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.