Team Lead - Solution Engineers (AI/SaaS sales)

Accenture UK & Ireland

Dublin

On-site

EUR 120,000 - 180,000

Full time

8 days ago
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Job summary

Accenture UK & Ireland is seeking a Team Lead – API Sales to drive revenue growth and accelerate adoption of AI platform APIs within a strategic enterprise client. You will lead Solution Engineers, ensure structured execution, and maintain quota attainment with a focus on KPI-driven performance and governance across the sales lifecycle.

You will partner with Sales Managers to foster a high-performance culture, manage pipeline discipline, and align AI capabilities with measurable business

Qualifications

  • Minimum Years of Experience: SMB Sales 3+ years of SaaS closing experience; Team Lead 5+ years total B2B technology sales, with 3+ years in people leadership.
  • Mandatory SaaS experience (AI / SaaS / technology sales required).
  • Strong expertise in CRM management (Salesforce strongly preferred).
  • Familiarity with sales sequencing and engagement tools.

Responsibilities

  • Lead, coach, and performance-manage Solution Engineers across SMB, Enterprise Qualification, and Renewals segments.
  • Own team-level quota, pipeline coverage, forecast accuracy, and productivity metrics.
  • Establish daily, weekly, and monthly performance expectations (outreach volumes, SLA adherence, pipeline progression).
  • Drive structured inspection cadence including pipeline reviews, call coaching, and QA scorecard reviews.
  • Ensure onboarding and ramp programs aligned to role-specific experience requirements.
  • Act as executive sponsor on complex enterprise API opportunities and guide pricing strategies.

Skills

Team leadership
SaaS sales
CRM management
APIs & developer ecosystems
KPI-driven leadership
Data-driven mindset

Tools

Salesforce

Job description

Role Overview

The Solution Engineer Team Lead is responsible for driving revenue growth and accelerating enterprise adoption of advanced AI platform APIs for a strategic AI client. This role combines sales leadership, disciplined pipeline governance, and consultative, valuebased selling across complex enterprise environments. Working with other TL’s and Sales Managers to drive a high-performance sales culture.

Team Lead – API Sales

Role Overview

The Solution Engineer Team Lead is responsible for driving revenue growth and accelerating enterprise adoption of advanced AI platform APIs for a strategic AI client. This role combines sales leadership, disciplined pipeline governance, and consultative, valuebased selling across complex enterprise environments. Working with other TL’s and Sales Managers to drive a high-performance sales culture.

You will lead a team of Solution Engineers across SMB, ensuring structured execution, productivity discipline, and consistent quota attainment. Success in this role requires strong commercial leadership, technical fluency, operational rigor, and the ability to drive performance through clear KPIs and compliance standards.

You will act as both a people leader and executive sponsor on strategic opportunities, ensuring consistent delivery across revenue, activity, quality, and forecast accuracy metrics.

Key Responsibilities
Sales Leadership & Performance
  • Lead, coach, and performance-manage Solution Engineers across SMB, Enterprise Qualification, and Renewals segments.
  • Own team-level quota, pipeline coverage, forecast accuracy, and productivity metrics.
  • Establish clear daily, weekly, and monthly performance expectations (e.g., outreach volumes, SLA adherence, pipeline progression).
  • Drive structured inspection cadence including pipeline reviews, call coaching, and QA scorecard reviews.
  • Ensure strong onboarding and ramp programs aligned to role‑specific experience requirements.
Pipeline & Revenue Execution
  • Drive disciplined opportunity qualification using structured methodologies (e.g., MEDDICC, BANT).
  • Ensure sellers meet defined daily outreach expectations across calls, email, and sequencing tools.
  • Enforce SLA responsiveness standards for inbound and customer follow‑up.
  • Maintain rigorous Salesforce hygiene, forecast accuracy, and clean pipeline management.
  • Consistently deliver against revenue targets and team quota attainment.
Strategic Deal Leadership
  • Act as executive sponsor on complex enterprise API opportunities.
  • Guide commercial structuring, pricing strategy, and negotiation processes.
  • Partner with Solutions Engineering to align AI capabilities with measurable business outcomes.
  • Ensure compliance with responsible AI, data governance, and client risk requirements.
Compliance, Governance & Quality Standards
  • Uphold QA scorecard standards across calls, documentation, and customer interactions.
  • Ensure strict adherence to CRM data hygiene and reporting accuracy.
  • Monitor compliance with outreach productivity benchmarks and SLA discipline.
  • Drive accountability for audit readiness and documentation standards across the team.
Ideal Profile
Experience Requirements

Minimum Years of Experience (YoE) by Segment:

  • SMB Sales: 3+ years of SaaS closing experience in high‑velocity environments.
  • Team Lead: 5+ years total B2B technology sales experience, with 3+ years in a people leadership role.
Mandatory Qualifications
  • Proven track record of consistent quota attainment.
  • Mandatory SaaS experience (AI / SaaS / technology sales required).
  • Strong expertise in CRM management (Salesforce strongly preferred).
  • Familiarity with sales sequencing and engagement tools.
  • English proficiency at C1 minimum, validated through formal testing.
Technical & Commercial Fluency
  • Strong understanding of APIs, platform architectures, and developer ecosystems.
  • Working knowledge of AI/ML concepts and enterprise AI use cases.
  • Ability to engage both technical stakeholders and executive decision-makers.
  • Data‑driven, KPI‑oriented leadership mindset.
Mindset & Behaviours
  • Performance‑driven and highly accountable.
  • Structured, disciplined, and operationally rigorous.
  • Customer‑centric and solution‑oriented.
  • Agile and adaptable within a rapidly evolving AI landscape.
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