Manager, Solutions Engineering
New
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Required Skills
- RESTful APIsStakeholder management
Requirements
- 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.
Responsibilities
- 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.
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