Client Solutions Engineer
Weekday AI
Client Solutions Engineer
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · Pune, India · Full-time · Posted 2025-08-14
Salary: INR 4,000,000–7,000,000
Workplace: on_site
Department: Weekday's Client via platform
This role is for one of Weekday’s clients
Salary range: Rs 4000000 - Rs 7000000 (ie INR 40-70 LPA)
Min Experience: 8 years
Location: Pune
JobType: full-time
We are looking for a highly motivated and experienced Client Solutions Engineer to join our team. In this role, you will be pivotal in bridging the gap between our product and our clients' needs, particularly in the pre-sales process. You will work closely with the pre-sales team to address RFPs and RFIs, design tailored solutions, and ensure seamless integration with our product offerings.
Roles and Responsibilities:
• Proposal & Solution Architecture: Drive successful completion of RFPs and RFIs, providing detailed and accurate information about Osmos.ai's product capabilities.
• Client Discovery & Solutioning: Develop comprehensive and innovative solutions for clients, aligning their requirements with our product functionalities.
• Product Demos & POCs: Own and deliver high-impact product walkthroughs, pilot programs, and proof-of-concepts (POCs) that showcase the value of our offering. Maintain an in-depth understanding of the osmos.ai product, ensuring you can effectively address client needs and provide technical guidance.
• Sales Enablement: Utilize your technical knowledge to help position Osmos's offerings, identify client needs, and contribute to project scoping and proposal development. Communicate complex technical concepts clearly and concisely to both technical and non technical stakeholders. Take ownership of deliverables, ensuring solutions perform as expected and drive business impact.
• Product Strategy Influence: Collaborate closely with internal and external senior stakeholders, including managers, directors, VPs, and C-suite leaders, to translate business requirements into actionable technical strategies
• Onboarding & Handover: Partner with customer success and delivery teams to ensure seamless onboarding and long-term value realization.
Experience & Background:
• Have 8–12 years in overall with atleast 3 to 5+ years in a client-facing, solution engineering, or product management role in a B2B SaaS, AdTech, Martech, RetailTech, or enterprise tech environment.
• Love turning complex product capabilities into simple and powerful client stories.
• Are deeply comfortable with ambiguity, and love getting things done in a fast-paced, high growth setup.
• Are equally confident in a boardroom pitch and a Slack thread with product/engineering.
• Have strong empathy for customers, but also know how to push back with confidence and clarity.
• Have proven expertise in architecting and recommending solutions tailored to specific client contexts.
• Have strong communication and presentation skills.
• Have technical proficiency to understand and explain product functionalities.
• Have experience working with senior stakeholders and translating business needs into technical solutions.
• Have knowledge of technical languages / Quick Prototyping / Vibe Coding is a plus.
Skill Sets:
• Has end-to-end ownership of pre-sales or solutioning cycles—managing RFPs, RFIs, demos, POCs, and custom solution builds.
• Proven experience engaging VP/C-level decision-makers in client organizations.
• Has experience leading and mentoring team members—excellent team management skills are a must.
• Exceptional communication, articulation, and presentation skills—comfortable influencing both technical and non-technical audiences.
• Demonstrated ability to manage and motivate teams, delegate responsibilities, and lead by example.
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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
Explore more opportunities at Weekday AI