Interface AI

4 weeks ago

Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Own the technical win across enterprise deals by leading structured discovery, building tailored product demos, and designing end-to-end proof-of-concept engagements. Present AI architecture, integration patterns, and ROI models to technical and business stakeholders, co-own competitive displacement strategy, and maintain reusable demo environments. Serve as a technical authority for migration conversations and feed deal intelligence back to Product and Engineering to influence the roadmap.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Operate as a co-seller to own the technical win from discovery through proof of concept completion and executive sign-off.
•Lead structured technical discovery, uncovering integration complexity and evaluation criteria, and deliver a deal brief to the AE within 24 hours.
•Build and deliver tailored platform demos mapped to each prospect’s pain points, including AI Phone Banking, Smart Discovery, Smart Transaction, and FLA/Orbit.
•Design, own, and execute proof of concept engagements, managing technical evaluation end-to-end to a documented technical win.
•Present AI architecture, integration patterns, and ROI models to technical and business buyers; contribute deal intelligence back to Product and Engineering.

Pay and Benefits

Perks:Health InsuranceDentalVision401kWellness StipendPaid LeavePaid ParentalFamily Benefits

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or a related technical field.
•5–10 years in B2B SaaS or enterprise technology, including 3+ years as a Solutions Engineer or pre-sales engineering role owning the technical win.
•Career progression from support/implementation/TAM into pre-sales, expanding deal complexity, product scope, and vertical depth.
•Deep fluency in AI and NLU concepts (intent recognition, confidence thresholds, fallback design, model retraining) and the ability to communicate to technical and non-technical audiences.
•Experience building custom POC environments and demo sandboxes; strong written communication for RFP/RFI responses and technical proposals.

Experience:5-10 yearsB2B SaaSEnterprise technologyPre-sales engineeringCCaaSConversational AIFinancial services

Education:Bachelor's

Skills:Written communicationStakeholder communicationTechnical persuasionCustomer-focused discoveryCompetitive strategy

Tech Stack:AINLUIntent recognitionModel retrainingPrompt engineeringGenerative AIIVRTelephonyAPIsCore banking integration

Company Brief

Interface AI

Provides AI-powered virtual assistant and automation software for banks and credit unions. The platform helps financial institutions handle customer service, support routine banking tasks, and improve digital self-service across voice and chat channels.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Jose, United States

Founded: 2018

Website LinkedIn

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Interface AI

4 weeks ago

Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Operate as a co-seller to own the technical win from discovery through proof of concept completion and executive sign-off.
•Lead structured technical discovery, uncovering integration complexity and evaluation criteria, and deliver a deal brief to the AE within 24 hours.
•Build and deliver tailored platform demos mapped to each prospect’s pain points, including AI Phone Banking, Smart Discovery, Smart Transaction, and FLA/Orbit.
•Design, own, and execute proof of concept engagements, managing technical evaluation end-to-end to a documented technical win.
•Present AI architecture, integration patterns, and ROI models to technical and business buyers; contribute deal intelligence back to Product and Engineering.

Pay and Benefits

Perks:Health InsuranceDentalVision401kWellness StipendPaid LeavePaid ParentalFamily Benefits

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or a related technical field.
•5–10 years in B2B SaaS or enterprise technology, including 3+ years as a Solutions Engineer or pre-sales engineering role owning the technical win.
•Career progression from support/implementation/TAM into pre-sales, expanding deal complexity, product scope, and vertical depth.
•Deep fluency in AI and NLU concepts (intent recognition, confidence thresholds, fallback design, model retraining) and the ability to communicate to technical and non-technical audiences.
•Experience building custom POC environments and demo sandboxes; strong written communication for RFP/RFI responses and technical proposals.

Experience:5-10 yearsB2B SaaSEnterprise technologyPre-sales engineeringCCaaSConversational AIFinancial services

Education:Bachelor's

Skills:Written communicationStakeholder communicationTechnical persuasionCustomer-focused discoveryCompetitive strategy

Tech Stack:AINLUIntent recognitionModel retrainingPrompt engineeringGenerative AIIVRTelephonyAPIsCore banking integration

Company Brief

Interface AI

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Jose, United States

Founded: 2018

Website LinkedIn