Presales Solutions Architect

Pre-Sales Solution Architect – New York

Translate client needs into delivery-ready data and AI architectures, partner with sales, and drive measurable commercial value.

The opportunity:

We’re looking for a Pre-Sales Solution Architect to drive revenue impact through solution design, supporting the commercial team throughout pre-sales activity with prospective clients.

This is a senior, outcome-driven role with responsibility for the technical shaping of opportunities across direct and partner-led sales motions. You’ll translate client challenges into delivery-ready, commercially sound architectures across data, cloud and AI.

The role will play a key part in improving solution quality, win rates and revenue outcomes, while helping to develop repeatable approaches and assets that can scale across future opportunities.

What you'll be doing:

• Own the technical shaping of deals from early-stage discovery through to proposal and close.
• Translate client business challenges into compelling, delivery-ready data, cloud and AI solutions.
• Work closely with Sales, Partners and Delivery teams to identify and prioritise high-value opportunities.
• Develop solution architectures that balance client outcomes, commercial requirements, delivery feasibility and technical risk.
• Engage with senior client stakeholders, including C-suite and technical decision-makers.
• Support partner-led opportunities and co-sell activity.
• Contribute to improved win rates, pipeline conversion and revenue growth through high-quality pre-sales execution.
• Create reusable solution assets, methodologies and intellectual property to support future opportunities.
• Help reduce sales cycle times through effective solution design and repeatable approaches.
• Stay current with developments across cloud, data, AI and emerging technologies.
• Continue developing your technical and commercial expertise within a collaborative, high-performing environment.

What we're looking for:

Essential

• Proven experience (5-7 years ) in pre-sales solution architecture within data, cloud, AI or technology consulting.
• Strong commercial awareness, with an understanding of how solution design impacts win rates, margins and delivery risk.
• Strong architectural capability across hyperscalers, modern data platforms and AI use cases.
• Excellent communication and stakeholder management skills, with the ability to influence Sales, Partners, Delivery teams and C-suite clients.
• Experience working in a commercially focused environment where success is measured against tangible business outcomes.
• Ability to operate effectively across both technical and commercial conversations.

Desirable

• Experience with modern data platforms such as Databricks or Snowflake.
• Experience working with technology partners and partner-led/co-sell opportunities.
• Exposure to Generative AI or agentic AI architectures.
• A track record of creating reusable pre-sales intellectual property, solution assets or methodologies.
• Experience working with enterprise clients across multiple industries.
• Experience working in financial services.

We don’t expect you to tick every box. If you’re excited about the opportunity and believe you have the potential to succeed, we’d still love to hear from you.

Salary:

$150,000 – $200,000 bonus

Benefits:

• 15 PTO days plus 11 public holidays.
• 401(k) retirement programme with employer matching.
• Healthcare insurance with a significant employer contribution.
• Dental and vision insurance.
• Long-term disability insurance.
• Additional caregiver leave.
• Enhanced maternity, adoption and paternity leave.
• Financial wellbeing support.
• Flexible working options.
• Learning and development opportunities, including professional certifications.
• Internal mobility and career development opportunities.
• Employee Assistance Programme (EAP).
• Mental health, diversity and inclusion support.
• Employee discounts and additional voluntary benefits.

Working arrangement:

This is a hybrid role based in New York, with an expectation of working from the office approximately 2–3 days per week, alongside client meetings and home working.

Diversity & inclusion:

We’re committed to building a more diverse and inclusive technology industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ people, people with disabilities, and people who are neurodivergent.

If you require any adjustments during the application or interview process, please let us know. We’re committed to providing an inclusive and accessible recruitment experience for all candidates.