Sales Engineer
San Jose, California, United States
Full Time Executive-level / Director USD 186K - 232K
Coactive Systems
Coactive unlocks analytics and insights from unstructured image and video data.Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.
This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI.
As a Sales Engineer, you will be one of the founding members of the Solutions team and will be a key technical contributor working closely with the founders, sales, and customer success. Your primary goal is to ensure the success of prospects by scoping and delivering technical engagements (e.g. demos, workshops, POVs) that demonstrate clear business value for potential customers. You will build repeatable processes that drive the sale and adoption of Coactive’s products, while supporting the strategic and technical needs of potential new customers. You will also collaborate closely across multiple teams, serving as the technical sales expert for the Go-To-Market team while becoming an expert and champion of the Coactive platform.
What you’ll do:
- Be an expert and evangelist of the Coactive product
- Be the resident technical sales expert and mentor for Go-To-Market teams
- Lead and execute successful engagements for potential new customers, including Proof-of-Value engagements and technical workshops
- Create and deliver enterprise-grade technical materials to support sales
- Provide feedback from the field and serve as an advocate for prospects to internal teams
- Maintain clear documentation and streamlined processes to facilitate efficient collaboration
- Occasional travel to customer sites and industry conferences may be required
- Shape best practices and company culture as we grow
What we look for:
- BS (or higher) in Computer Science or related fields, or equivalent professional experience
- Entry level experience coding in Python (Preferred)
- 5+ years working in technical pre-sales and/or post-sales, preferably enterprise B2B SaaS
- Experience in scope and delivery of technical solutions, preferably utilizing analytics and/or AI products
- Experience in creating materials and tooling to support technical sales, including demos, statement of work proposals and presentations
- Ability to effectively communicate and guide technical and executive audiences, whether in demos, sales calls or in-person visits
- Ability to work with technical and non-technical stakeholders to identify and solve a customers business need through an existing product
- Ability to provide technical sales mentorship to other technical and non-technical team members, such as solutions engineers and/or account executives
- Previous experience in a fast-paced startup environment is a plus
- Previous experience in in technical sales of ML/AI products is a plus
What you can expect from us:
This is a hybrid position based in San Jose, California.
The estimated On Target Earnings (OTE) for this position is $186,250 -$232,500.
At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:
- Equity grants
- 100% medical, dental, & vision coverage for you
- Medical, dental, & vision partially covered for your dependents
- Unlimited PTO
- Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.
Further, you can expect a supportive work environment from us. We build products, but we develop people.
Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.
*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.
We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Tags: Computer Science Deep Learning Machine Learning PhD Python Unstructured data
Perks/benefits: Career development Conferences Equity / stock options Health care Startup environment Team events Unlimited paid time off
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