Pre Sales Solution Architect - New York

Job Description

Job Description

The opportunity

We’re looking for a Pre Sales Solution Architect to drive revenue impact through Solutions Design supporting the commercial team in Pre Sales activity with prospective clients. This role is central to our mission, and you’ll play a key part in helping to deliver market leading, outcome based solutions for our clients.

About Kubrick

Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact.

We work with organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra.

What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers.

What you'll be doing

The Pre‑Sales Solution Architect (PSA) is a senior, outcome‑driven role within Kubrick’s Consulting Practices, accountable for revenue impact, win‑rate improvement, solution quality, and partner‑led growth through high‑quality presales execution.

The role owns the technical shaping of deals across direct and partner‑led motions, translating client problems into delivery‑ready, commercially sound architectures across data, cloud, and AI. Success is measured not by activity alone, but by pipeline influenced, revenue booked, win‑rate uplift, cycle‑time reduction, and reusable solution assets created, in line with Kubrick’s Presales KPI framework.

The PSA works closely with sales, partners, and delivery teams to ensure that presales effort is focused on the highest‑value opportunities, produces repeatable IP, and ultimately scales Kubrick’s business.

You’ll take ownership of meaningful work from early on, contributing to projects that deliver real impact for clients. You’ll be part of a collaborative, high-performing environment where you’re encouraged to think differently, influence outcomes, and continue developing your expertise.

What we’re looking for

Essential

• Proven experience in presales solution architecture within data, cloud, or AI consulting.

• Strong commercial awareness: understands how solution design affects win‑rate, margin, and delivery risk.

• Deep architectural capability across hyperscalers, modern data platforms, and AI use cases.

• Excellent communicator, able to influence Sales, Partners, Delivery, and C‑suite clients.

• Comfortable being measured on commercial outcomes, not just activity.

Desirable

• Experience with Databricks, Snowflake, and partner co‑sell motions.

• Exposure to GenAI or agentic system architectures.

• Track record of creating reusable presales IP or solution assets.

We don’t expect you to tick every box. If you’re excited about the role 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 (26 days total)

• 401(k) retirement program with company match up to 3%

• Healthcare insurance (80% premium employer paid)

• Dental insurance

• Vision insurance

• Long-term disability insurance (100% employer paid)

• 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 Program (EAP)

• Mental health, diversity and inclusion support

• Employee discounts via LifeMart

• Additional voluntary benefits15 PTO days plus 11 public holidays (26 days in total)

We also offer a hybrid working environment with a requirement to be in our NY office 2-3 days a week/client meetings and home working

Diversity & inclusion

We're committed to building a more diverse and inclusive tech 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 as we’re here to support you.