ZipRecruiter

Log In

1

Messi Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsMessi Jobs

Messi information

What companies does Messi own?

Lionel Messi, the professional footballer, has invested in several business ventures, including a clothing line and a hotel. He also co-owns a football team in Inter Miami CF. These investments reflect his interests beyond his playing career but are not large-scale corporate ownerships.

What are the key skills and qualifications needed to thrive as a Professional Soccer Player, and why are they important?

To thrive as a Professional Soccer Player, you need exceptional athletic ability, technical skills like dribbling and shooting, and a deep understanding of the game, often developed through years of training and competition. Familiarity with team strategies, video analysis tools, and fitness monitoring systems is common in the field. Standout players possess strong teamwork, discipline, and resilience to handle pressure and adapt during matches. These skills are crucial for high performance, contributing to team success, and maintaining a long and successful athletic career.

What job does Messi have?

Lionel Messi is a professional soccer player who plays for club teams and the national team. His role involves skills such as dribbling, passing, and scoring goals, often requiring physical fitness and tactical understanding. He may also engage in endorsements and public appearances related to his sports career.

Is Messi now a billionaire?

Lionel Messi, the professional footballer, has achieved billionaire status according to Forbes, primarily through his salary, endorsements, and business ventures. His earnings reflect his status as one of the highest-paid athletes globally, and he is considered a billionaire as of 2023. This milestone highlights his success both on and off the field.

Who is Messi and what is he known for?

Lionel Messi is an Argentine professional football (soccer) player widely regarded as one of the greatest players of all time. He is known for his incredible dribbling skills, vision, and goal-scoring ability. Messi has won numerous awards, including multiple Ballon d'Or titles, and spent the majority of his career at FC Barcelona before joining Paris Saint-Germain and later Inter Miami. He is also celebrated for leading Argentina to victory in the 2021 Copa América and the 2022 FIFA World Cup.

What is the difference between Messi vs Soccer Player?

AspectMessiSoccer Player
Primary RoleProfessional footballer (forward/attacker)Player of soccer (football) in general
Required CredentialsNone formal, but extensive training and experienceSame, no formal certification needed
Work EnvironmentFootball stadiums, training grounds, clubsVarious, including stadiums, training facilities, leagues
Industry UsageHigh-profile athlete in sports industryBroad term covering all levels of soccer players

Messi is a specific, highly renowned soccer player known for his exceptional skills, while 'soccer player' is a general term for anyone who plays the sport. The main difference lies in the level of fame and specialization, with Messi being a top-tier professional athlete.

Is Messi Neymar's idol?

There is no publicly confirmed information indicating that Lionel Messi considers Neymar his idol. Both players have expressed mutual respect for each other's skills and contributions to football. As professional athletes, they often serve as inspirations to fans and peers, but specific idol relationships are personal and not always publicly disclosed.
More about Messi jobs
What cities are hiring for Messi jobs? Cities with the most Messi job openings:
What states have the most Messi jobs? States with the most job openings for Messi jobs include:
What job categories do people searching Messi jobs look for? The top searched job categories for Messi jobs are:
Messi jobs near you
Strategic Projects Lead (Technical)

Strategic Projects Lead (Technical)

SuperAnnotate AI

San Francisco, CA

$140K - $210K/yr

Full-time

Re-posted 7 days ago

Job description

About SuperAnnotate

SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025.

The Impact You'll Make

We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements.

As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design.

You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence.

You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches.

This is a full-time, hybrid position based in San Francisco.

What You'll Do
  • Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch.
  • Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction.
  • Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client.
  • Design and build the systems that make delivery possible: Architect data pipelines, quality frameworks, and review infrastructure that let your team execute at scale. Instrument the right KPIs, catch regressions early, and continuously refine processes as program needs evolve.
  • Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale.
  • Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next.
  • Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes.
What You'll Bring

  • 4+ years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment.

  • A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how.

  • Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science.

  • Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly.

  • Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action.

  • Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions.

  • A working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams.

  • Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure.

Nice to Have
  • Experience building or managing large distributed contributor or expert workforces.

  • Background in management consulting, investment banking, or data-intensive technical services.

  • MBA or equivalent advanced degree.

In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly.
Why SuperAnnotate

This role sits at the center of what SuperAnnotate does and what the AI industry needs most right now. You’ll work on problems that matter, with clients who are building the systems that will define the next decade of AI. You’ll have real ownership, real visibility, and a direct line to leadership.


Only shortlisted candidates will be contacted for an interview!

Equal Opportunity

We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.