Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Sales Representative

Opensee
London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Marketing Data Analyst — Onsite, Insights that Drive Growth

Senior Data Engineer - Azure

Data Engineer

Senior Data Engineer - Market Intelligence

Are you an aspiring sales professional eager to kickstart your career in fintech? At Opensee, we’re transforming big data analytics for financial institutions, and we're looking for a driven and ambitious Junior Sales Representative to join our growing team. This role is perfect for someone excited to develop their sales skills, with a focus on outbound efforts and supporting our sales team as we expand in the financial technology space. If you’re motivated to learn, grow, and make an impact, we’d love to hear from you!



About us

Joining Opensee means immersing yourself in advanced solutions for financial data management and analytics. You'll work in a dynamic environment where innovation and creativity are the norm. With Opensee, you'll have the chance to grow and develop in an international environment that values talent and commitment. Opensee is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.




About the role

  • Support the Sales Team:Provide essential administrative support to senior sales staff, contributing to seamless operations and effective client engagement.

  • Assist in Presentations and Proposals:Help create and refine sales presentations, proposals, and other client-facing materials that highlight our unique solutions.

  • Manage CRM & Databases:Maintain and update customer databases and CRM (Salesforce) records to keep our pipeline accurate and organized.

  • Coordinate Events and Meetings:Assist in organizing sales events, client meetings, and other key engagements.

  • Outbound Prospecting:Conduct targeted outbound prospecting to identify potential clients, map target accounts, and find relevant contact information using various channels.

  • Collaborate with Team Members:Work closely with sales, marketing, and operations to ensure smooth communication and alignment across teams.



About you 

Requirements:

  • Educational Background:Bachelor’s degree in Business, Finance, Marketing, or a related field (or equivalent work experience).

  • Experience:0-2 years in a sales, business development, or customer-facing role. Prior exposure to financial services, technology, or SaaS sales is beneficial but not required.

  • Technical Familiarity:Comfortable using CRM software (e.g., Salesforce, HubSpot) to manage and track leads. Basic familiarity is sufficient; training provided.

  • Outbound Tools:Familiarity with outbound sales tools (e.g., LinkedIn Sales Navigator, cold emailing, phone techniques) is a plus.

  • Language Skills:Proficiency in English is required. Additional languages, especially French, are a plus due to our global team and client base.


Soft skills: 

  • Industry Interest: Passionate about financial services and technology; knowledge of fintech or big data is a plus.

  • Communication Skills: Excellent written and verbal communication abilities; confident in engaging with prospective clients.

  • Sales Drive:Proactive and resilient with a “hunter” mentality for discovering new business opportunities.

  • Organizational Skills: Strong multitasking abilities, highly organized, and able to manage multiple outreach tasks and follow-ups.

  • Team Player: Positive attitude with a genuine desire to learn and grow in a collaborative sales environment.

  • Self-Starter:Self-motivated and eager to take initiative in a fast-paced, dynamic setting.


Position details  

  • Permanent contract

  • Location:  Opensee London office (United-Kingdoms/ Royaume uni)

  • Start date: ASAP

Process of recruitment  

  • HR pre-call: 30’

  • Interview with Sales/Marketing in London/Paris - 60’

  • Interview with Sales team in NY - 60’

  • Interview with one person from Executive team in Paris - 30'

  • Human Resources Manager :  interview: 30’

A reference check and a meeting of the team members could be organised. 



How to apply

Send us your resume and a brief description of why you are interested in joining us, and we will come back to you very shortly!



Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.