Socure
Pre-Sales Solution Consultant, Big Tech/AI
California - Remote
Sponsorship not specifiedDetected 56 days ago
Cloud PlatformsRESTMachine LearningData ScienceStakeholder ManagementSalesCustomer SuccessExperimental DesignLeadershipCommunicationCollaborationMentoringPublic Speaking
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We hire people who want that level of responsibility.
- People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.
- If you want predictability or narrow scope, this won't be your place.
Responsibilities
- Partner with Account Executives and Sales Leadership to understand customer priorities, business objectives, technical requirements, and decision criteria.
- Lead discovery sessions that uncover customer challenges across identity, fraud, risk, onboarding, compliance, and operational workflows.
- Design scalable solutions that align Socure's platform capabilities to customer needs and business outcomes.
- Deliver tailored product demonstrations, technical workshops, architecture discussions, and executive presentations.
- Lead or support proof-of-concept, proof-of-value, and data study design and execution in partnership with Data Science.
- Support RFPs, RFIs, security reviews, technical questionnaires, proposals, statements of work, and related sales deliverables.
- Collaborate with Product, Engineering, Data Science, Customer Success, and Marketing to address customer requirements and deliver compelling solutions.
- Build technical win strategies that establish credible solution fit, customer confidence, and a clear path to implementation.
- Create reusable assets, frameworks, and playbooks that improve consistency and effectiveness across the Solution Consulting team.
- Partner with post-sales teams to ensure high-quality handoffs, including customer goals, proposed architecture, POC outcomes, assumptions, risks, and success criteria.
Requirements
- Strong experience with discovery, solution design, technical demonstrations, architecture discussions, and proof-of-concept execution.
- Bachelor's degree or equivalent practical experience.
Benefits
- Mentor teammates and contribute to a culture of technical excellence, customer focus, and continuous learning.
- Technical depth across RESTful APIs, data flows, analytics, machine learning or data science-adjacent technologies, and modern software delivery environments.
- A commitment to continuous learning, mentorship, collaboration, and operational excellence.
- We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Company info
- Own pre-sales solution consulting for strategic Big Tech/AI customers from qualification through closed won.
- Apply industry and domain expertise to tailor strategies for customers operating in identity, fraud, fintech, financial services, AI, data, and regulated environments.
Equal opportunity
- Socure is an equal opportunity employer that values diversity in all its forms within our company.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.