Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide to reimagine how they operate and compete.
We're looking for a Business Development & Partnerships Associate to help grow two revenue motions: converting partner-sourced leads from Anthropic and AWS into Provectus clients, and building new pipeline in our target industries. This is a high-growth role for someone with solid BD experience who wants to sell AI services at the center of the industry's most important partnerships. You'll work closely with our BD leadership, take ownership of deals as you grow, and develop into a full-cycle enterprise seller.
What You'll Do
- Act as a day-to-day point of contact for Anthropic's and AWS's partner and field sales teams.
- Receive and qualify enterprise leads shared by our partners, run discovery calls, and move qualified opportunities through to proposal and signed SOW, with support from BD leadership on larger deals.
- Keep the joint pipeline up to date, and help prepare quarterly business reviews and co-sell planning sessions.
- Build relationships with Anthropic and AWS field reps so Provectus is their first call for implementation needs.
- Support partner program activities: certifications, co-marketing campaigns, case studies, and partner events.
- Prospect into enterprise accounts in Financial Services and Life Sciences through outbound, networking, events, and referrals.
- Run discovery, scope opportunities with our architects, and own deals through the sales cycle.
- Build a growing network of decision-makers on the East Coast.
- Work with delivery leads and solution architects to scope proposals accurately. You'll be selling consulting engagements, not software licenses.
- Share market insights (buyer objections, competitor moves, industry trends) with leadership and marketing.
Partner motion: Anthropic and AWS
New business development
Cross-functional collaboration
What You Bring
- 3–5 years of experience in business development, partnerships, or sales, ideally in B2B technology, cloud, or consulting.
- Hands-on experience working with a technology partner ecosystem (AWS, Anthropic, Microsoft, Google Cloud, Snowflake, Databricks, or similar), for example co-selling, joint pipeline, or co-marketing.
- A track record of moving deals through the sales cycle, from prospecting and discovery to proposal and close.
- Strong written and verbal communication, and confidence presenting to VP-level and senior stakeholders.
- Curiosity about AI and a genuine interest in how enterprises adopt it.
- Comfort in a fast-paced, entrepreneurial environment where you take ownership without being micromanaged.
- Willingness to travel up to 40% for client meetings, workshops, partner events, and conferences.
Nice to Have
- Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech).
- Experience selling services or statement-of-work (SOW) engagements rather than SaaS subscriptions.
- Exposure to AI/ML, LLM-based products, or cloud data solutions.
- An existing network in New York's financial services or life sciences communities.
Why Join Us
- Work at the intersection of two of the most powerful partnerships in AI: Anthropic and AWS.
- Sell with confidence, backed by a world-class AI/ML team that delivers what you sell.
- Learn directly from experienced BD leadership, with a clear path to a senior partnerships or sales role.
- High-impact role with direct visibility to leadership.
- Strong earning potential with performance-based bonuses.
- Choice of B2B contract or full-time employment.
- Unlimited vacation policy.
- Generous health, vision, and dental insurance.
- 401(k) matching plan.
- OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data.
Provectus is an AI consultancy and solutions provider helping businesses achieve their goals through AI and data-driven innovation across Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We're recognized by industry analysts as a leading provider of AI solutions, and we value innovation, ownership, and collaboration.
Skills Required
- 2-5 years of experience in business development or partner/alliance management, including experience at a consulting firm
- Experience managing an Anthropic, AWS, GCP, Azure, or other technology partner relationship, including co-selling, joint pipeline, MDF, or co-marketing
- Proven experience converting partner-sourced leads through a full enterprise sales cycle from discovery to signed statement of work
- Demonstrated ability to independently run a full sales cycle from prospecting through close without dedicated BDR support
- Experience selling complex, multi-month consulting engagements and statement-of-work deals
- Excellent executive-level written, verbal, and in-room communication skills with C-suite and VP audiences
- Experience in Financial Services or Life Sciences
- Experience selling AI/ML services, LLM-based products, or cloud data
- Willingness to travel up to 40% for customer meetings, briefings, workshops, conferences, and business development activities
What We Do
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.
