Gradient Labs

2 months ago

GTM Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

GTM Engineer to own the systems and signals behind identifying, segmenting, and reaching ICPs while partnering with AEs and the Head of Marketing to convert signals into pipeline. You’ll build targeted lists, own outbound motion end-to-end, support sales with pipe-gen, stitch together tools into a scalable system, and stay at the forefront of GTM and AI tooling in a fast-paced environment.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own the GTM systems that identify, segment, and reach our ICP and partner with AEs and Marketing leadership to turn signals into pipeline.
•Build and manage outbound-at-scale plays using email and LinkedIn across defined personas; manage domains, deliverability, and reply handling, and continually optimize for results.
•Surface intent signals, prioritize accounts, and ensure signals contribute to the sales pipeline.
•Stitch together the current stack, reason about the right system shape, and iteratively improve it month over month.
•Stay on the frontier of GTM and AI tooling, evaluating new tools and applying AI to enhance productivity.

Key Requirements

•Real enterprise sales understanding. You've sat close to AEs in a previous life, ideally at an early-stage startup. You know what a good account looks like, what makes a sequence land, and what wastes a rep's time.
•Fluency in our core stack. HubSpot, Clay, Apollo, Instantly, CommonRoom, and La Growth Machine. If a tool is new to you, you go in, learn it, and figure it out without booking a walkthrough.
•Systems-building instinct. You think in workflows and systems. You can take a half-built thing, see what it should look like, and build it into a clean system that compounds.
•Genuine AI fluency. You use AI every day as the way you work. You're great at prompting, comfortable building small agents, and creative about what AI can take off your plate.
•Super fast pace and bias to action. Fast is your default. You estimate honestly, sequence well, and you'd rather try something today than schedule a meeting about it next week.

Experience:AISaaSMarketingFinancial servicesCustomer operations

Skills:HubSpotLinkedInOutboundAI toolingSales enablementWorkflow automation

Languages:English

Tech Stack:HubSpotClayApolloInstantlyCommonRoomLa Growth MachineNotionLinkedInEmailDeliverability

Company Brief

Gradient Labs

Builds an AI customer-operations agent (Otto) for financial services that automates support, compliance, and complex workflows across chat, voice and other channels to improve CSAT and reduce human intervention.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Revenue: USD 1M to 5M

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2023

Glassdoor: 5.0

Website LinkedIn Glassdoor

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Gradient Labs

2 months ago

GTM Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own the GTM systems that identify, segment, and reach our ICP and partner with AEs and Marketing leadership to turn signals into pipeline.
•Build and manage outbound-at-scale plays using email and LinkedIn across defined personas; manage domains, deliverability, and reply handling, and continually optimize for results.
•Surface intent signals, prioritize accounts, and ensure signals contribute to the sales pipeline.
•Stitch together the current stack, reason about the right system shape, and iteratively improve it month over month.
•Stay on the frontier of GTM and AI tooling, evaluating new tools and applying AI to enhance productivity.

Key Requirements

•Real enterprise sales understanding. You've sat close to AEs in a previous life, ideally at an early-stage startup. You know what a good account looks like, what makes a sequence land, and what wastes a rep's time.
•Fluency in our core stack. HubSpot, Clay, Apollo, Instantly, CommonRoom, and La Growth Machine. If a tool is new to you, you go in, learn it, and figure it out without booking a walkthrough.
•Systems-building instinct. You think in workflows and systems. You can take a half-built thing, see what it should look like, and build it into a clean system that compounds.
•Genuine AI fluency. You use AI every day as the way you work. You're great at prompting, comfortable building small agents, and creative about what AI can take off your plate.
•Super fast pace and bias to action. Fast is your default. You estimate honestly, sequence well, and you'd rather try something today than schedule a meeting about it next week.

Experience:AISaaSMarketingFinancial servicesCustomer operations

Skills:HubSpotLinkedInOutboundAI toolingSales enablementWorkflow automation

Languages:English

Tech Stack:HubSpotClayApolloInstantlyCommonRoomLa Growth MachineNotionLinkedInEmailDeliverability

Company Brief

Gradient Labs

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Revenue: USD 1M to 5M

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2023

Glassdoor: 5.0

Website LinkedIn Glassdoor