Manager, Solutions Engineering

Direct message the job poster from BigID

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We’re leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next‑gen technology. BigID has been recognized for:

• BigID Named Hot Company in Artificial Intelligence and Machine Learning at the Global Info Sec Awards
• Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
• CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
• DUNS 100 Best Tech Companies to Work for
• Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers & Editors Choice Awards
• 2024 Inc. 5000 list for the 4th consecutive year!
• Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

At BigID, our team is the foundation of our success. Join a people‑centric culture that is fast‑paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

BigID is seeking a customer‑facing, Solution Engineering team leader to the West region. Candidates should be focused on creating a strong team environment while enabling each SE to grow and contribute to the overall success of the territory. A minimum of 3 years in a previous leadership role(s) is required. Specialty in a technical or consultative position around security, privacy or governance is a plus.

BigID foundationally believes that leadership is driven by example: a “player‑coach” mentality is non‑negotiable.

We're looking for someone local to PDT for this role.

What you’ll do:

• Manage and mentor a team of 3–6 Sales Engineers
• Hire and retain the best talent from across the industry
• Recognize and reward leadership, promoting team members along the defined career path.
• Gather insights from customers, determine product gaps and work closely with PM/R&D to improve our products
• Stay up to date with current and future market trends, competition and regulatory developments
• Collect and share knowledge within the team
• Determine training needs for overall team and individuals
• Coach other team members where possible
• Report on group activities and trends
• Continuously review and improve our POC process with the goal of reducing our time to close and overall success
• Generate and / or review post POC summary reports. Share findings and take action where needed
• Continuously review and improve Demo flows / messaging
• Expand quality and quantity of all pre‑sales collateral
• Update demo env to showcase new product functionality, verticals and unique customer use cases
• Maintain content of RFP answer libraries to reduce response times
• Contribute to building Brand awareness
• Coordinate our customer engagements closely with sales, support, services
• Identify all potential areas of improvement (approach, process, execution) within presales
• Review need for special tools or scripts that can make our life easier during POC's

What you’ll bring:

• 5+ years of management experience
• 10+ years industry experience in sales engineering or related experience
• Relevant experience in one or more of the disciplines of data privacy, data security, or data governance
• Prior experience in selling software to Fortune 500
• Ability to work independently in a fast paced environment
• Positive attitude, customer focus, and strong sense of ownership over customer results
• Excellent customer‑facing communication and organization skills
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Some prior experience with one or more of the following: RDBMS systems, no‑SQL data‑stores (Mongo
  
  DB, Cassandra, Dynamo
  
  DB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies…