Senior Solution Architect

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About Atombeat

Atombeat Inc. is an AI- and computation-driven drug discovery company focused on advancing therapeutic programs from concept through preclinical candidate (PCC). Powered by our proprietary discovery platform RiDYMO, Atombeat integrates AI-driven molecular design, advanced computational modeling, rapid synthesis, and closed-loop experimental feedback to enable fast, data-efficient drug discovery.

Atombeat works closely with biotech and pharmaceutical partners across multiple therapeutic modalities, with particular strength in peptide therapeutics and complex molecular designs. The company has deep expertise in tackling hard-to-drug targets, including transcription factors, GPCRs, and other challenging target classes, where traditional discovery approaches often fall short.

Atombeat was founded in 2024 and is headquartered in Boston, MA. The company operates as the U.S. subsidiary of DP Technology, an AI-for-science company founded in 2018 and based in Beijing. DP Technology has supported 30+ successful drug discovery programs and has collaborated with approximately 60% of the top pharmaceutical companies in China, building a strong track record in AI-driven and computation-enabled drug discovery.

For more information about Atombeat and our technology platforms, please visit our official website: www.atombeat.com.

About the Role

Atombeat is seeking a Boston-based Business Development Manager to expand our commercial presence across the U.S. biotech ecosystem. This role is sales-oriented, network-driven, and externally focused, with responsibility for originating, advancing, and closing new commercial opportunities across biotech and pharmaceutical organizations.

This position is ideal for a scientifically trained BD professional who enjoys opening doors, building trust, and converting scientific interest into revenue-generating engagements. You will own sales opportunities end-to-end, while receiving full support from internal technical and product teams.

Solution Architecture & Custom Design

• Design customized drug discovery and Agentic AI solution architectures tailored to the scientific objectives, constraints, and maturity of biotech and pharma partners • Translate customer scientific challenges into structured solution frameworks, including: • Platform configurations • Workflow designs • Scope definitions and success criteria • Balance scientific rigor, technical feasibility, and commercial practicality when shaping proposed solutions • Serve as the primary owner of the solution narrative, ensuring consistency across technical, scientific, and business dimensions.

BD Enablement & Client Engagement

• Partner closely with Business Development to support: • Pre-sales discovery conversations • Technical deep dives • Executive-level scientific presentations • Act as a trusted scientific and technical counterpart to customer teams, including computational scientists, medicinal chemists, and research leadership • Help frame use cases, value propositions, and differentiation in customer-appropriate language • Participate in key external meetings, conferences, and workshops as a solution and science representative of the company.

Internal Coordination & Delivery Alignment

• Work with internal product, platform, and research teams to: • Align proposed solutions with actual technical capabilities and roadmaps • Ensure smooth handoff from pre-sales architecture to project execution • Refine reusable solution patterns and best practices over time • Provide feedback from customer engagements to inform platform evolution and roadmap prioritization • Support internal documentation, templates, and reference architectures for common solution scenarios

Required Qualifications

• 3+ years of experience in drug discovery, computational chemistry, AI-driven research platforms, or related scientific technology roles • Master's or PhD degree in chemistry, biology, pharmaceutical sciences, computational science, or a related field • Strong ability to translate complex scientific and technical concepts into structured, client-ready solutions • Experience engaging directly with external scientific and technical stakeholders • Excellent communication skills, with confidence presenting to both technical experts and senior decision-makers

Preferred Qualifications

• Experience designing or supporting custom research workflows, AI platforms, or computational drug discovery solutions • Prior involvement in pre-sales, solution consulting, or customer-facing technical roles • Familiarity with AI-assisted drug discovery, physics-based modeling, or integrated discovery platforms • Exposure to biotech or pharma decision-making processes and project lifecycles