AI Business Development Jobs

Discover the latest remote and onsite AI Business Development roles across top active AI companies. Updated hourly.

Check out 136 new AI Business Development opportunities posted on AI Chopping Block

RevOps Manager, NAMER Territory Strategy & Operations

New
Top rated
Gong
Full-time
Full-time
Posted

The role involves defining the internal AI roadmap in partnership with Security, Legal, and business leaders, operating the enterprise AI stack including LLMs, vector databases, and gateways, and enforcing consistent patterns for tool calling, prompt versioning, state management, and error handling to prevent fragmented agent implementations. It also includes managing the full model lifecycle from evaluation and testing to upgrades and deprecations. Responsibilities further include proactively interviewing teams to identify manual workflows for automation, building and deploying proofs of concept independently to demonstrate ROI before scaling, owning the token procurement process and building forecasting and chargeback models for cost management, building dashboards for tracking SLAs/SLOs and monitoring usage, cost, and error rates, and proactively identifying opportunities for cost-saving and performance tuning.

$148,000 – $225,000
Undisclosed
YEAR

(USD)

Austin or Chicago or New York City or Salt Lake City or San Francisco, United States
Maybe global
Onsite

AI Strategist, Healthcare Solutions

New
Top rated
Distyl
Full-time
Full-time
Posted

Lead and drive technology solutions in the Healthcare vertical and the GTM process with healthcare customer engagements from first meeting to deal signed. Drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies to deliver desired outcomes. Operate in 0→1 mode by rapidly building demos and proof-of-concept solutions showcasing the Distillery platform’s capabilities. Work at the intersection of business strategy and AI implementation, bridging technical AI tools and business outcomes. Prototype workflows on the Distillery platform, build demos quickly, collaborate with healthcare SMEs, and co-design solutions with engineering. Drive AI solutioning throughout the pre-sales process on healthcare deals, own momentum from discovery through deal close, research clients and tailor use case points of view. Develop expertise in Distyl’s Healthcare Solutions, feed insights to Account Executives to sharpen pitches, conduct technical discovery, identify valuable problems embedding in customer workflows, build demos and competitive positioning documents, define POC proposals, navigate enterprise data to identify reliable AI outcomes, build storylines and decks for ROI, create and maintain reusable GTM assets, ensure proper handoff to expansion teams, and maintain living account documentation during pre-sales phase.

$150,000 – $250,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Hybrid

GTM Engineer

New
Top rated
Magical
Full-time
Full-time
Posted

The GTM Engineer is responsible for building internal systems that power how the company identifies demand, engages buying groups, accelerates deals, and scales revenue. This includes designing and shipping signal infrastructure, agent workflows, and orchestration tooling that convert GTM data into automated actions such as account intelligence, buying-stage detection, SDR alerts, personalization, and deal acceleration. Specific tasks include building GTM signal infrastructure to score ICP fit, map buying committees, and track engagement across accounts; capturing intent and engagement signals at scale; detecting buying stages and deal health; orchestrating automated GTM actions based on live engagement signals; building internal tooling and agent workflows to automate manual GTM workflows; partnering with marketing, sales, and revenue operations to translate GTM strategy into scalable automation systems; and maintaining data quality and governance across GTM systems.

Undisclosed

()

Toronto, Canada
Maybe global
Remote

Deployment Strategist Lead - France

New
Top rated
ElevenLabs
Full-time
Full-time
Posted

As a Deployment Strategist Lead, you will be fully responsible for opening up a new market for ElevenLabs, building and leading a team to achieve this. Your duties include meeting with strategic customers to understand their critical audio and voice AI needs and pain points, building and leading a team of forward deployed engineers within the region, identifying relevant use cases by deeply engaging with customer problems and workflows, and working with engineers to implement voice and audio AI technology into innovative solutions. You will design and architect bespoke integrations for customers to ensure seamless technology fit, guide customers on best practices for implementing voice and audio AI models, present results and proposals to audiences ranging from technical teams to executives, collaborate with research and product teams to incorporate field insights into software products and AI models, build and deliver demos of voice and audio AI technology, scope potential applications in new industries, expand AI solutions globally, take full ownership of major projects for strategic partners and work hands-on to deliver high-impact solutions, and collaborate daily with customer engineering and executive teams to ensure optimal technology implementation.

Undisclosed

()

Paris, France
Maybe global
Hybrid

Product Partnerships Lead, Ecosystem

New
Top rated
OpenAI
Full-time
Full-time
Posted

Lead the strategy and execution for OpenAI's app and connector ecosystem, building deep partnerships and managing the full partnership lifecycle from identification to negotiation and closing. Collaborate with internal teams and executive leadership to ensure successful partner integrations and advance innovation within the ecosystem.

Undisclosed
YEAR

(USD)

Maybe global
Hybrid

Microsoft GTM Partnership, Enterprise

New
Top rated
Anthropic
Full-time
Full-time
Posted

Drive adoption of Anthropic's AI solutions by securing strategic deals with enterprise customers in traditional industries. Collaborate with GTM, product, and marketing teams to refine value proposition, sales methodology, and market positioning for conservative business leaders.

Undisclosed
YEAR

(EUR)

Maybe global
Hybrid

Senior Partnerships Manager

New
Top rated
Black Forest Labs
Full-time
Posted

The Senior Partnerships Manager works directly with founders and the leadership team to drive special projects, strategic initiatives, and optimize key performance metrics across business functions. They serve as the connective tissue between technical and business teams, building scalable solutions to operational bottlenecks and supporting executive communications and business reviews.

Undisclosed

()

Maybe global
Hybrid

Customer Activation Manager, Large-Scale Deployments

New
Top rated
Anthropic
Full-time
Full-time
Posted

The Customer Activation Manager, Large-Scale Deployments, is responsible for driving new business revenue by securing strategic deals with established companies and navigating complex organizational structures to promote AI adoption. This role involves collaborating with cross-functional teams, refining sales methodologies, and building consensus among senior leaders to facilitate large-scale deployments of Anthropic's AI solutions.

Undisclosed
YEAR

(EUR)

Maybe global
Hybrid

Global Partnerships Manager - BPO

New
Top rated
Parloa
Full-time
Full-time
Posted

The Global Partnerships Manager is responsible for scaling the business in North America by building and maintaining a robust sales pipeline focused on enterprise customers. The role involves generating outbound leads, nurturing client relationships, and promoting Parloa's conversational AI platform to address client needs and deliver value.

Undisclosed
YEAR

(USD)

Maybe global
Hybrid

Senior Regional Lead | Japan

New
Top rated
Heidi Health
Full-time
Full-time
Posted

You will define and execute Heidi Health’s regional strategy in Japan, including building relationships with ministries, health authorities, and major hospital groups. You are accountable for commercial outcomes, securing anchor partnerships, and mentoring regional operators while acting as a senior ambassador to key partners.

Undisclosed

()

Maybe global
Remote Solely

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Frequently Asked Questions

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[{"question":"What does an AI Business Development do?","answer":"AI Business Development professionals identify and pursue opportunities in AI-relevant sectors through market research, networking, and outreach. They build client relationships, understand business needs, and translate these into customized AI solutions. Their responsibilities include developing sales strategies, creating proposals, responding to RFPs, and collaborating with cross-functional teams on go-to-market approaches. They analyze market trends and AI technologies to inform strategies, track pipeline metrics using CRM systems, and represent their company at industry events. Many also mentor sales development representatives on lead generation techniques specific to AI solutions."},{"question":"What skills are required for AI Business Development Roles?","answer":"Successful AI Business Development professionals need a blend of technical and interpersonal abilities. Key skills include consultative selling, where understanding client challenges takes precedence over product pitching. Strong communication is essential for explaining complex AI concepts to non-technical stakeholders. Market analysis capabilities help identify trends and opportunities. Negotiation expertise facilitates deal closing, while relationship building creates long-term partnerships. Technical comprehension of machine learning, data analytics, and automation principles is crucial. Proficiency with CRM systems and sales automation tools streamlines processes. Strategic thinking allows for aligning AI solutions with client business objectives and measuring impact."},{"question":"What qualifications are needed for AI Business Development Roles?","answer":"Employers typically seek candidates with proven business development experience in technology sectors, particularly with AI, software, or SaaS products. A bachelor's degree in business, computer science, or related field is standard, with MBAs sometimes preferred for senior positions. Technical knowledge of AI concepts and applications must be sufficient to have meaningful conversations with both technical teams and business stakeholders. Demonstrated revenue generation and a track record of meeting sales targets are essential qualifications. Experience with CRM platforms, proposal development, and contract negotiations strengthen applications. Industry certifications in sales methodology or specific AI technologies can provide competitive advantages."},{"question":"What is the salary range for AI Business Development Jobs?","answer":"Compensation for AI Business Development roles varies based on several factors. Geographic location significantly impacts earnings, with technology hubs like San Francisco, New York, and Boston typically offering higher packages. Experience level creates substantial differences, with senior professionals commanding significantly more. Company size and funding stage affect compensation structures – established enterprises often provide higher base salaries while startups might offer more equity. Technical expertise depth can increase earning potential, particularly knowledge of specialized AI applications. Commission structures vary widely, with some roles offering substantial performance-based incentives. Education level and industry specialization (healthcare AI versus retail AI) also influence compensation packages."},{"question":"How long does it take to get hired as an AI Business Development?","answer":"The hiring timeline for AI Business Development positions typically spans 1-3 months. Initial screening often includes resume review and preliminary calls with recruiters or hiring managers. Technical screening may assess AI knowledge through scenarios or case studies. Multiple interview rounds follow, typically including conversations with sales leadership, product teams, and potential cross-functional partners. For senior roles, presentations demonstrating market understanding or sales approaches are common. Reference checks and background verification precede offer negotiation. The process may extend longer at larger organizations with formal hiring committees or when specialized industry expertise (healthcare, finance) is required. Candidate availability and scheduling can also impact timelines."},{"question":"Are AI Business Development Jobs in demand?","answer":"AI Business Development roles show strong demand signals across multiple sectors. Companies like ServiceNow, OpenAI, and numerous AI startups are actively recruiting for these positions. The integration of AI capabilities into traditional business solutions has created need for professionals who can articulate technical value propositions to non-technical buyers. Organizations seek specialists who understand both AI technology limitations and business applications. Demand is particularly high in industries undergoing AI transformation, including healthcare, financial services, retail, and logistics. The specialized knowledge required—combining sales expertise with AI understanding—has created a talent gap that companies are eager to fill with qualified professionals."},{"question":"What is the difference between AI Business Development and Traditional Business Development?","answer":"AI Business Development requires deeper technical knowledge to effectively communicate complex solutions to prospects. While traditional roles focus on general value propositions, AI specialists must translate technical capabilities into business outcomes and ROI frameworks. AI positions often involve longer sales cycles with more stakeholders, including data scientists and IT leaders. The demonstration process differs significantly—AI roles frequently require custom proof-of-concepts showing specific data applications rather than standard product demos. Technical qualification of opportunities becomes critical, assessing data readiness and integration requirements. AI professionals must stay current with rapidly evolving technologies and regulatory considerations like data privacy that may not impact traditional business development professionals."}]