Job summary
Job post source
This job is directly from monday insights
Job overview
The Solution Engineer at monday insights plays a critical role in supporting the sales team by leveraging deep product knowledge to help prospects understand the value of the platform and streamline sales processes.
Responsibilities and impact
The role involves leading technical aspects in complex sales, mapping business processes for prospects, establishing solution packages, and collaborating closely with Sales, Product, and Customer Success teams to strategize large opportunities.
Compensation and benefits
The position offers a base salary range of $120,000-$170,000 for NYC hires, with potential discretionary bonuses and equity, subject to standard taxes; visa sponsorship is not available.
Experience and skills
Candidates should have 4+ years in a Pre Sales Engineering role in SaaS, strong problem-solving skills, technical curiosity, communication skills, understanding of JSON, RESTful APIs, and preferably GraphQL, plus business process mapping and customer-facing experience.
Work environment and culture
The company values diversity and equal opportunity, fostering an inclusive environment regardless of gender, race, ethnicity, or other protected characteristics, with a hybrid work model requiring 3 days per week in the NYC office.
Company information
monday insights is a SaaS company focused on providing a platform that supports business processes and sales enablement, emphasizing collaboration across Sales, Product, and Customer Success teams.
Team overview
The candidate will join the NYC sales team, working closely with salespeople and other departments to establish methodologies and streamline sales processes.
Job location and travel
The job is based in New York City with a hybrid work model requiring 3 days per week in the office.
Unique job features
The role is distinguished by its strategic involvement in large sales opportunities, technical leadership in sales processes, and the establishment of pre-configured solution packages to optimize customer implementations.
Company overview
Monday Insights is a business intelligence and analytics platform developed by monday.com, designed to help organizations visualize, analyze, and act on their data efficiently. The platform integrates seamlessly with monday.com’s work operating system, enabling users to create custom dashboards, generate real-time reports, and automate insights across various workflows. Monday Insights generates revenue through subscription-based pricing, targeting businesses seeking to enhance productivity and data-driven decision-making. Launched as an extension of monday.com’s core offerings, it reflects the company’s ongoing commitment to expanding its suite of collaborative tools. Candidates should be aware that monday.com is known for its fast-paced, innovation-driven culture and emphasis on user-centric product development.
How to land this job
Tailor your resume to highlight your 4+ years of experience in pre-sales engineering within SaaS environments, emphasizing your deep technical knowledge of SaaS platforms and ability to map business processes effectively.
Focus on showcasing your expertise in handling complex sales processes, including objection handling, technical demonstrations, and collaboration with sales, product, and customer success teams to streamline sales methodologies.
Apply through multiple channels such as the monday insights corporate career site and LinkedIn to maximize your application visibility and ensure you reach the right hiring managers.
Connect with current Solution Engineers and sales team members at monday insights on LinkedIn; use ice breakers like commenting on recent product updates, asking about their approach to integrating customer feedback, or expressing enthusiasm for monday's hybrid work culture.
Optimize your resume for ATS by incorporating keywords from the job description such as 'pre-sales engineering,' 'SaaS,' 'business process mapping,' 'RESTful APIs,' 'GraphQL,' and 'objection handling' to ensure your resume passes initial automated screenings.
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