Solutions Architect - Presales

About the role

As a Solutions Consultant for RWS TrainAI group, you'll serve as the cornerstone for the development of AI data services solutions within RWS. The role is integral in developing new strategies and solutions, supporting sales, and assisting in solving complex problems for customers. You’ll be instrumental in establishing best practices around qualifying, solutioning, and closing new business opportunities, setting up proof-of-concepts, and transitioning complex projects to global production teams. This role operates on a global scale, offering international collaboration while respecting work-life balance with limited off-hours demands.

Responsibilities

• Client Engagement: Act as a key technical point of contact for clients, supporting their business goals, solutions needs, and technical requirements related to improving their training data for machine learning.
• Solution Development: Design and implement scalable data acquisition and annotation workflows. Build and present custom solutions, process optimizations, and integration strategies for long-term customer success.
• Pre-Sales Engagement: Lead responses to customer RFPs and RFIs, and design innovative solution proposals. Deliver compelling presentations and demonstrations aligned with enterprise client business objectives.
• Strategic Planning: Develop and adapt strategic plans to align with client goals, identify opportunities for process improvement and efficiencies, and collaborate with other Solutions Consultants on technology strategy.
• Team Collaboration: Work cross-functionally with globally dispersed client services teams, peer solutions consultants, sales, technical, and supply chain teams to ensure seamless solution development and delivery.
• Industry Engagement: Represent the organization at key industry and customer events, conferences, and speaking engagements, showcasing thought leadership in the data services space.
• Strategic Industry Advisory: Leverage industry knowledge to proactively identify trends and disruptions, delivering actionable recommendations that shape customer engagement and sales strategy.

Requirements

• Bachelor's degree or above.
• At least 4+ years of experience in services-oriented solution and technical pre/post-sales solutioning.
• Interest in AI and emerging technologies; data service experience is highly preferred.
• Strong communication skills with the ability to interact easily with customer stakeholders.
• Fluency in English, both spoken and written.
• Ability to establish and maintain long-lasting relationships with business partners, both internal and external.
• Strategic thinking, business-oriented, with excellent problem-solving and project management skills.
• Analytical approach with strong data analysis skills—experience in using SQL, Power BI, Tableau, or other BI tools is preferred.
• Thrive in fast-paced, sometimes chaotic environments, skillfully multitasking and delivering results under pressure.

Benefits

• Generous paid time off package: 25 days per year (10 sick and 15 vacation), plus company holidays, a birthday day off, paid volunteer time, and 100% paid parental leave.
• 401(k) Retirement plan with company match.
• Company-wide agile work policy with flexible work arrangements.
• Opportunities for training, professional development, and personal growth.

Pay

Base Pay: $120,000 - $140,000 per year. Actual rate of pay may vary based on factors including, but not limited to: position offered, location, education, training, and/or experience. Total compensation may also include variable incentives, bonuses, benefits, and/or other perks, as outlined in any formal offer made.

Candidates must reside in the advertised state to be considered.