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Welcome to the RPS+ Hub


Transform Your Talent Strategy using Recruiter Professional Services Plus (RPS+) with Hiring Assistant

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See RPS+ in Action!

Watch as LinkedIn Leaders demonstrate RPS+ with Hiring Assistant—LinkedIn’s most powerful solution for professional staffing and recruiting.

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Learn how to use RPS+ with Hiring Assistant

Start by choosing the option that best aligns with your focus:



Sourcing for a specific role with well-defined qualifications

Let's get started by activating your new recruiting agent, Hiring Assistant.

Why is Hiring Assistant ideal for a specific role?

  • Conversational Intake: Engages with you to deeply understand your hiring intent and translate that into sourcing strategy
  • Thorough candidate evaluation: Reviews thousands of profiles with consistent depth, assessing every candidate against your hiring criteria and highlighting direct evidence.
  • Applicant evaluation: Evaluates and shortlists thousands of job applicants in minutes (based on must-have and preferred qualifications).
  • Automated prescreening: Handles basic screening questions ahead of the phone screen

Follow the below workflow to source candidates using Hiring Assistant

Select a step on the left to see details on the right. Steps provide tips, link to on-demand learning and step-by-step articles.

Step 1

Start a Project in Hiring Assistant

  • Start a new project or add Hiring Assistant to an existing one with no disruption.
  • To create a new project using Hiring Assistant, click the Hiring Assistant icon next to your profile picture in Recruiter, then select Start hiring for a new role.
  • Describe your ideal candidate by providing preferred qualifications, workplace location, a job description, an active LinkedIn job post, or other relevant details.
  • After you confirm the job requirements, in the chat, click Review candidates together to evaluate a candidate's profile. This step helps confirm that Hiring Assistant aligns with your hiring strategy.

Pro Tip: As you are reviewing the initial candidates Hiring Assistant sources, You can ask questions about the candidate such as their experience, education, location, and how they fit the role.


Sourcing for project-based roles with multiple candidates or flexible qualifications

Learn how to use Advanced AI-Assisted Search

What is Advanced AI-Assisted Search?

  • Helps save time creating search queries by allowing users to simply drop intake notes or job descriptions into the search bar to receive better results.
  • Finds better quality candidates by matching on critical skills rather than exact attributes.
  • Uses Context rather of relying solely on filters or keyword matches, to identify critical qualifications like “data-driven decision maker” or “experience solving ambiguous problems.”

Follow this workflow to source with Advanced AI-Assisted Search

Select a step on the left to see details on the right. Steps include tips and links to on-demand learning or Help Center articles.

Step 1

Switch to manual Advanced AI-Assisted Search

  • This is ideal when you want more hands-on control to fine tune search filters.
  • Inside your Hiring Assistant-enabled project, select Talent Pool at any time to switch to manual Advanced AI-Assisted Search.
  • In the AI search pane on the left side of the page, type a request or ask a question such as, “Find a Senior Product Manager in New York with 6 years of experience" or “What are some companies that I can add to my search?”
  • Optional: In the Qualifications section, add, edit, or delete qualifications.
  • To return to end-to-end Hiring Assistant, select Pipeline.
Remember: You will not lose any work switching between the two modes within the same project. Hiring Assistant is built to enhance, not disrupt.

Prospecting for new business

Learn about the Business Development features available in RPS+

What can I do for Business Development?

  • Engage prospects with AI-assisted outreach.
  • Surface accounts actively hiring and expanding.
  • Stay ahead with features like profile following.

Watch the Overview Video

Follow this workflow for Business Development in RPS+

Select a step on the left to see details on the right. Includes tips and links to deeper resources.

Step 1

Use AI-assisted search to find Decision Makers

  • Start with AI-assisted search to identify decision-maker level profiles and relevant contacts.
  • Please Note: Hiring Assistant and Semantic Search qualification matching aren’t designed for business development evaluation yet—manual control is recommended.
  • Refine by seniority, function, industry, and geography to hone your prospect list.
Pro Tip: Save multiple prospect lists by segment (region, vertical, ICP tier) to speed repeat outreach.


Coming Later This Year: "Actively Hiring" Spotlight enhancements, more powerful search spotlights, & enhanced context capture for BD InMails.

Qualification Best Practices

Review general guidance, then select a role type to explore targeted examples.

General Best Practices for All Roles

Think of qualifications as a "checklist"

Qualifications are the primary tool you have to clearly articulate what you are looking for in a candidate. Each qualification is an "instruction" telling Hiring Assistant what to look for.

The key is making sure you're instructing Hiring Assistant to look for the same things you would when evaluating a candidate.

Be clear, concrete, and actionable

Write qualifications as if you’re guiding a junior sourcer — not just describing an ideal candidate.

  • ✅ Use measurable, observable traits (“3–5 years in B2B SaaS account management”).
  • ❌ Avoid vague or evaluative language (“strong communicator,” “solid technical background”).

Hiring Assistant performs best when each qualification reads like a search instruction, not an opinion. If a qualification is vague, the system will make broader inferences, which can lead to results feeling off-target.

Focus on what matters most

Keep to 4–6 qualifications that reflect the core differentiators for success. Start with the qualifications that are truly required for someone to perform the job well.

  • ✅ Highlight experience, scope, tools, outcomes.
  • ❌ Avoid laundry lists of skills and boolean keywords.

Avoid setting overly rigid thresholds on preferred qualifications that could unintentionally filter out strong candidates who meet your core requirements.

Specify level and context

Mention scope, industry, environment, or company type to sharpen Hiring Assistant’s search.

  • ✅ “5–8 years in enterprise software marketing within high-growth SaaS environments.”
  • ❌ “Marketing experience in tech.”

Context helps the model distinguish seniority and relevance.

Use present or recent-tense phrasing

Consider recency — phrasing like “currently working in…” or “in the past 2 years…” improves match accuracy.

  • ✅ “Currently working in Azure services, including security and hybrid cloud.”
  • ❌ “Has worked in security.”

Avoid redundancy and overlap

Each qualification should introduce a unique search signal.

  • ✅ One qualification per skill, tool, or experience area.
  • ❌ Don’t repeat variations of the same skill (“Experienced in data analysis” + “Strong analytical skills”).

Use exclusion intentionally

Negative qualifiers (“not focused on…”) are powerful but should be used sparingly and specifically.

  • ✅ “Currently an individual contributor, not managing a team.”
  • ❌ “Not junior” — too ambiguous.

Broad or unclear exclusions can unintentionally filter out qualified candidates or create unintended constraints. Be precise about what you want, not just what you do not want.

Include qualifications that may not appear in the job description

You can include implicit hiring criteria — such as company pedigree, tenure, or demonstrated career growth — as part of your qualifications.

  • ✅ "Currently working at [A company], [B company], or [C company].”
  • ✅ “Has been promoted within the past 2–3 years in a quota-carrying role.”

Treat qualifications as dynamic

Hiring Assistant will not change behavior unless your qualifications change. The most effective users refine qualifications based on the candidates they see.

  • If results feel too broad, increase specificity around scope, years, environment, or responsibilities.
  • If results feel too narrow, remove non-critical qualifiers or lower thresholds on preferred criteria.
  • If seniority is misaligned, adjust years of experience or clarify level language.
  • If candidates seem close but not quite right, revisit how you’ve described the day-to-day work and required capabilities.

Archiving and highlighting aren’t optional — they reinforce what is working. Iteration is expected, especially early in the workflow or for nuanced roles.

Engineering — Best Practices

  • Be explicit about recency and/or years of experience for each technical domain.
  • Specify years of “post-grad” or “professional” experience to exclude internship work (e.g., “5–8 years of professional experience”).
  • Include tools, frameworks, or environments (e.g., cloud, infrastructure) tied to the role’s scope.
  • Use excluding language thoughtfully (e.g., “not focused solely on front-end” or “not as a manager”) to re-direct.
  • Combine technical depth with collaboration signals (e.g., cross-functional work, mentorship).

Example Qualifications

  • “5–8 years developing in backend systems using Java or Scala."
  • Currently building distributed or cloud-native architectures.”
  • “Worked in organizations with strong infrastructure or developer tools teams (e.g., AWS, Microsoft, Meta).”
  • “4–8 years of post-grad experience in machine learning engineering; must have a PhD or equivalent in computer science, applied mathematics, or ML.”
  • “Experience deploying ML models in production environments; not solely focused on research or data science roles.”
  • “Has worked in cross-functional settings with product and engineering stakeholders to translate model results into features.”
  • “3–5 years developing in front-end frameworks like React or Angular.”

Emerging Talent — Best Practices

  • Specify graduation date and degree program to ensure relevance.
  • Emphasize internship or project experience to infer skills over tenure.
  • Include growth signals (hackathons, course projects, open-source contributions).
  • Avoid over-weighting corporate experience — focus on aptitude and curiosity.

Example Qualifications

  • “Currently pursuing a BS or MS in Computer Science or related field, graduating between Dec 2025–June 2026.”
  • “Completed internship or significant project involving Python or Java.”
  • “Actively contributing to open-source or university-level engineering projects.”
  • “Demonstrated ability to collaborate on group projects or cross-functional teams.”
  • “Strong foundation in algorithms, data structures, and software design principles.”

Sales & Customer Success — Best Practices

  • Call out quota-carrying experience, deal size, and industry familiarity.
  • Indicate promotion patterns or tenure length (signals of sustained success).
  • Include related titles or functions for search breadth (e.g., “Account Manager OR Relationship Manager”).
  • Include performance indicators like “President’s Club” or “consistent overachievement.”
  • Be specific on customer segment (Enterprise, SMB, Agency, etc.).

Example Qualifications

  • “3–5 years in B2B SaaS sales, consistently meeting or exceeding quota.”
  • “Experience managing Enterprise or Agency clients with 1M+ annual spend.”
  • “Strong tenure in roles such as Account Executive, Agency Development Lead, or Relationship Manager.”
  • “Proven record of promotion within sales organization (e.g., AE1 → AE2 within 2 years).”
  • “Track record driving adoption or upsell within existing accounts.”
  • “Experience selling to HR, TA, or Marketing stakeholders.”
  • “Located in Hong Kong or APAC region; fluent in English and Cantonese/Mandarin preferred.”
  • “Experience with advertising or marketing technology products.”

Marketing & Communications — Best Practices

  • Focus on scope and channel expertise — the levers the marketer actually owns (e.g., paid social, lifecycle, brand, events).
  • Tie qualifications to impact metrics (conversion rates, engagement growth, ROI) rather than subjective traits (“creative thinker”).
  • Reflect cross-functional collaboration.
  • Specify audience type or segment (B2B vs. B2C, enterprise vs. SMB).
  • Include tool stack familiarity (CRM, marketing automation, analytics) when it signals proficiency, but don’t over-list tools.

Example Qualifications

  • “5–8 years of experience developing and executing multi-channel marketing campaigns across digital, social, and email.”
  • “Experience using marketing automation tools to run and measure demand programs.”
  • “3–6 years managing paid media and performance campaigns across Google, LinkedIn, and Meta.”
  • “8–10 years of experience managing media relations, press releases, and executive communications at global companies with over $100 million ARR.”
  • “Experience leading cross-functional launch planning and internal enablement.”
  • “Ability to craft compelling narratives and simplify complex concepts.”

Product — Best Practices

  • Specify years in product management or related roles (consulting, UX, strategy).
  • Include cross-functional and stakeholder management language.
  • Reference impact-oriented outcomes (launches, adoption, metrics).
  • Include preferred company scale (startup vs. enterprise).
  • Avoid generic phrases like “strong product sense” — anchor in measurable delivery.

Example Qualifications

  • “5–7 years in product management or equivalent experience; launched customer-facing features with measurable adoption.”
  • “Experience defining product vision, roadmap, and requirements in partnership with design and engineering.”
  • “Worked in high-growth B2B SaaS or marketplace environments.”
  • “Experience conducting user research and translating insights into actionable product improvements.”
  • “Strong analytical skills; comfortable using data to prioritize and measure outcomes.”
  • “Has managed cross-functional teams and driven projects from ideation to launch.”

General & Administrative — Best Practices

  • Combine strategic and operational indicators (analysis + execution).
  • Specify industry context (tech, SaaS, marketplace).
  • Include tenure and progression signals for senior roles.
  • For legal roles, name practice areas (privacy, commercial, employment).
  • Use conversational but precise phrasing — “Has advised business partners on…” instead of “responsible for advising.”

Example Qualifications

  • “5–7 years of experience in strategic finance or FP&A within technology companies.”
  • “Experience building financial models, forecasting, and supporting executive decision-making.”
  • “Has advised business leaders on budgeting, resourcing, and strategic investments.”
  • “JD and active bar membership in one jurisdiction.”
  • “Experience drafting and negotiating SaaS and commercial contracts.”
  • “Knowledge of data privacy and compliance regulations (GDPR, CCPA).”
  • “3–5 years in business operations, corporate development, or strategy roles.”
  • “Experience driving cross-functional initiatives and optimizing business processes.”

Leadership — Best Practices

  • Emphasize scale and scope of leadership (team size, budget, org complexity).
  • Include years of experience leading teams or managing functions.
  • Specify impact and outcomes (growth, transformation, or major launches).
  • Highlight company pedigree only when relevant to performance signal.
  • Avoid generic “proven leader” language — specify type of leadership (e.g., scaling early-stage orgs, leading transformation).

Example Qualifications

  • “10+ years in sales leadership, including 5+ years leading SMB or mid-market teams.”
  • “Experience driving double-digit revenue growth and scaling teams across regions.”
  • “Track record of developing managers and building high-performing sales orgs.”
  • “7+ years leading product operations or go-to-market strategy.”
  • “Experience at B2B SaaS companies with over $200 million ARR with focus on operational excellence.”
  • “Ability to translate strategic vision into executable plans with measurable outcomes.”

RPS+ Product Updates

Learn what has recently launched and what's coming for RPS+

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