Ines Johansson
Team Lead
Manchester, GB · 5y exp · We sourced
cand_g0129
Core skills
★ B2B SaaS
domain · 4y
★ Communication
soft · 3y
★ Java
technical · 3y
★ Machine Learning
technical · 2y
Experience
Account Executive · HelloFresh
5 years total experience.
Contact & application details
Email: ines.johansson.129@mail.example
Mobile: +06527238715
📍 852 High St, Manchester, 4346A, GB (Home)
Right to work: Yes
Previously employed here: No
Heard about us: Radio
SMS consent: Yes
WhatsApp comms: No
AI CV interpretation
Read by automated extraction from the candidate CV (PDF) · Jun 28, 2026. This is the machine-read structure the system extracted from the document.
Team Lead with 5+ years building and delivering in fast-paced product teams, currently at HelloFresh. Specialises in B2B SaaS, Java, Machine Learning, with a track record of shipping reliable, measurable outcomes and open to relocation. Known for clear communication and ownership.
Experience
Account Executive · HelloFresh
2023 – Present
- Led Machine Learning initiatives that improved delivery throughput by 21% across 5 teams.
- Reduced incidents by 26% by introducing Java best practices and automated checks.
- Owned the Machine Learning stack end to end, partnering with product and operations on 5 cross-functional projects.
Account Executive · Bosch
2020 – 2023
- Scaled B2B SaaS services to handle 38x peak load with no downtime.
- Mentored 6 engineers and established Machine Learning standards adopted team-wide.
Junior Account Executive · Booking.com
2017 – 2021
- Owned the Machine Learning stack end to end, partnering with product and operations on 5 cross-functional projects.
- Scaled B2B SaaS services to handle 31x peak load with no downtime.
Education
BSc Business Informatics
Trinity College Dublin (2018)
Swissport TA — candidate CV
Skills extracted (3)
B2B SaaSJava· AdvancedMachine Learning
Languages
English · Native
Detected: 5y experience · ines.johansson.129@mail.example
Applications (1)
| Roleⓘ | Stage | Fit | Applied | Last update | |
|---|---|---|---|---|---|
| Data Scientist | interview | 36 | May 11, 2026 | Jun 17, 2026 | Open › |