Manager, Solutions Engineering in India at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Solutions Engineering in India.
This is an exciting opportunity for a technical sales leader passionate about AI, customer success, and enterprise transformation. In this role, you will lead a high-performing Solutions Engineering team focused on helping organizations successfully adopt advanced AI technologies and platforms. You will collaborate with cross-functional teams across sales, product, engineering, and customer success to deliver seamless customer experiences throughout the sales lifecycle. The position combines strategic leadership, technical expertise, and customer engagement in a fast-paced and innovative environment. You will play a key role in shaping go-to-market strategies, influencing product adoption, and driving measurable business outcomes for enterprise clients across APAC. This role is ideal for someone who thrives in highly collaborative environments and enjoys translating complex technical capabilities into real-world business impact.
- Lead and mentor a team of Solutions Engineers responsible for technical pre-sales engagements, solution validation, and customer enablement across enterprise accounts.
- Develop and refine the technical sales strategy to support customer adoption, scalability, and long-term business growth across APAC markets.
- Partner closely with sales, customer success, product, engineering, research, and security teams to align technical solutions with customer objectives and market needs.
- Act as a senior technical advisor and escalation point for strategic customers, building trusted relationships with executive stakeholders.
- Drive customer-centric engagement models that maximize value realization, product adoption, and customer satisfaction.
- Advocate for innovative and responsible AI adoption while representing customer feedback internally to influence future product direction.
- Support technical discovery, architecture discussions, and solution demonstrations tailored to enterprise customer requirements.
- Foster a culture of collaboration, continuous learning, operational excellence, and ethical AI deployment within the team.
- Significant experience in Solutions Engineering, Sales Engineering, Technical Success, or related customer-facing technical leadership roles within enterprise technology environments.
- Strong technical expertise in AI platforms, cloud technologies, APIs, enterprise software solutions, and modern technical architectures.
- Proven experience leading and scaling high-performing technical teams across multiple regions or APAC markets.
- Strong ability to communicate complex technical concepts clearly to both technical and non-technical audiences, including executive stakeholders.
- Experience designing and executing technical go-to-market strategies that drive customer adoption and revenue growth.
- Excellent presentation, stakeholder management, problem-solving, and cross-functional collaboration skills.
- Customer-focused mindset with a passion for delivering exceptional user experiences and measurable business outcomes.
- Ability to thrive in fast-paced, evolving environments while managing competing priorities effectively.
- Strong leadership qualities including mentorship, strategic thinking, adaptability, and a continuous learning mindset.
- Commitment to responsible, ethical, and safe advancement of AI technologies.
- Opportunity to lead enterprise AI adoption initiatives within a globally recognized and innovative technology environment.
- Exposure to cutting-edge AI technologies, large-scale enterprise deployments, and high-impact customer engagements.
- Collaborative and mission-driven culture focused on innovation, learning, and customer success.
- Career growth opportunities with direct influence on go-to-market strategy and technical leadership initiatives.
- Work closely with world-class teams across product, engineering, research, and customer success functions.
- Competitive compensation package and long-term career development opportunities.
- Inclusive and diverse workplace committed to equal opportunity and professional growth.
- Access to challenging projects that shape the future of AI adoption across industries.